Alejandro Ribeiro

747 papers A* 38A 16B 9C 19Misc 120Journal 417Unranked 128

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Constrained Optimization Perspective of Unrolled Transformers. CoRR Javier Porras-Valenzuela, Samar Hadou, Alejandro Ribeiro
2026	J	`jnl`	Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. CoRR Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti
2026	J	`jnl`	Learning Policy Representations for Steerable Behavior Synthesis. CoRR Beiming Li, Sergio Rozada, Alejandro Ribeiro
2026	J	`jnl`	RKHS Representation of Algebraic Convolutional Filters with Integral Operators. CoRR Alejandro Parada-Mayorga, Alejandro Ribeiro, Juan Andrés Bazerque
2026	J	`jnl`	Size Transferability of Graph Transformers with Convolutional Positional Encodings. CoRR Javier Porras-Valenzuela, Zhiyang Wang, Alejandro Ribeiro
2026	J	`jnl`	Unrolled Neural Networks for Constrained Optimization. CoRR Samar Hadou, Alejandro Ribeiro
2025	A*	`conf`	A Manifold Perspective on the Statistical Generalization of Graph Neural Networks. ICML Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
2025	J	`jnl`	AL-CoLe: Augmented Lagrangian for Constrained Learning. CoRR Ignacio Boero, Ignacio Hounie, Alejandro Ribeiro
2025	J	`jnl`	Alignment of large language models with constrained learning. CoRR Botong Zhang, Shuo Li, Ignacio Hounie, Osbert Bastani, Dongsheng Ding, Alejandro Ribeiro
2025	J	`jnl`	Composition and Alignment of Diffusion Models using Constrained Learning. CoRR Shervin Khalafi, Ignacio Hounie, Dongsheng Ding, Alejandro Ribeiro
2025	A*	`conf`	Constrained Learning for Decentralized Multi-Objective Coverage Control. ICRA Juan Cerviño, Saurav Agarwal, Vijay Kumar, Alejandro Ribeiro
2025	J	`jnl`	Convolutional Filtering With RKHS Algebras. IEEE Trans. Signal Process. Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro, Juan Andrés Bazerque
2025	J	`jnl`	Cross-Learning from Scarce Data via Multi-Task Constrained Optimization. CoRR Leopoldo Agorio, Juan Cerviño, Miguel Calvo-Fullana, Alejandro Ribeiro, Juan Andrés Bazerque
2025	A*	`conf`	Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. AAAI Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro
2025	Misc	`conf`	DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. ICASSP Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy
2025	J	`jnl`	Disentangling Neurodegeneration With Brain Age Gap Prediction Models: A graph signal processing perspective. IEEE Signal Process. Mag. Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	J	`jnl`	Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective. CoRR Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	J	`jnl`	Distilling On-device Language Models for Robot Planning with Minimal Human Intervention. CoRR Zachary Ravichandran, Ignacio Hounie, Fernando Cladera, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
2025	J	`jnl`	Distributed Training of Large Graph Neural Networks With Variable Communication Rates. IEEE Trans. Signal Inf. Process. over Networks Juan Cerviño, Md Asadullah Turja, Hesham Mostafa, Nageen Himayat, Alejandro Ribeiro
2025	—	`conf`	Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks. ISBI Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	J	`jnl`	Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025	J	`jnl`	Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression. CoRR Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2025	A	`conf`	Feasible Learning. AISTATS Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien
2025	J	`jnl`	Feasible Learning. CoRR Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien
2025	A*	`conf`	GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation. ICML Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro
2025	J	`jnl`	Generalization of Geometric Graph Neural Networks With Lipschitz Loss Functions. IEEE Trans. Signal Process. Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
2025	A*	`conf`	Generalization of Graph Neural Networks Is Robust to Model Mismatch. AAAI Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
2025	—	`conf`	Generative Diffusion Models for Resource Allocation in Wireless Networks. CAMSAP Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti, Alejandro Ribeiro
2025	J	`jnl`	Generative Diffusion Models for Resource Allocation in Wireless Networks. CoRR Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti, Alejandro Ribeiro
2025	J	`jnl`	Graph Signal Generative Diffusion Models. CoRR Yigit Berkay Uslu, Samar Hadou, Sergio Rozada, Shirin Saeedi Bidokhti, Alejandro Ribeiro
2025	J	`jnl`	Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces. CoRR Antonio Pariente, Ignacio Hounie, Santiago Segarra, Alejandro Ribeiro
2025	J	`jnl`	LPAC: Learnable Perception-Action-Communication Loops With Applications to Coverage Control. IEEE Trans. Robotics Saurav Agarwal, Ramya Muthukrishnan, Walker Gosrich, Vijay Kumar, Alejandro Ribeiro
2025	A*	`conf`	Learning Efficient Positional Encodings with Graph Neural Networks. ICLR Charilaos I. Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro
2025	J	`jnl`	Learning Efficient Positional Encodings with Graph Neural Networks. CoRR Charilaos I. Kanatsoulis, Evelyn Choi, Stephanie Jegelka, Jure Leskovec, Alejandro Ribeiro
2025	J	`jnl`	Learning Optimal Power Flow with Pointwise Constraints. CoRR Damian Owerko, Anna Scaglione, Alejandro Ribeiro
2025	J	`jnl`	Learning State-Augmented Policies for Information Routing in Communication Networks. IEEE Trans. Signal Process. Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro
2025	J	`jnl`	Linear quadratic control with risk constraints. Autom. Anastasios Tsiamis, Dionysis Kalogerias, Alejandro Ribeiro, George J. Pappas
2025	A*	`conf`	LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning. ICLR Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2025	J	`jnl`	MAST: Multi-Agent Spatial Transformer for Learning to Collaborate. CoRR Damian Owerko, Frederic Vatnsdal, Saurav Agarwal, Vijay Kumar, Alejandro Ribeiro
2025	J	`jnl`	Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies. CoRR Sourajit Das, Navid Naderializadeh, Rahul Mangharam, Alejandro Ribeiro
2025	J	`jnl`	Sampling and Uniqueness Sets in Graphon Signal Processing. IEEE Trans. Signal Process. Alejandro Parada-Mayorga, Alejandro Ribeiro
2025	J	`jnl`	Scalable Multi Agent Diffusion Policies for Coverage Control. CoRR Frederic Vatnsdal, Romina García Camargo, Saurav Agarwal, Alejandro Ribeiro
2025	J	`jnl`	Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning. CoRR Jiashu He, Jinxuan Fan, Bowen Jiang, Ignacio Houine, Dan Roth, Alejandro Ribeiro
2025	Misc	`conf`	State-Augmented Opportunistic Routing in Wireless Communication Systems with Graph Neural Networks. ICASSP Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro
2025	J	`jnl`	Unrolled Graph Neural Networks for Constrained Optimization. CoRR Samar Hadou, Alejandro Ribeiro
2025	—	`conf`	Wireless Link Scheduling with State-Augmented Graph Neural Networks. IEEECONF Romina García Camargo, Zhiyang Wang, Navid Naderializadeh, Alejandro Ribeiro
2024	J	`jnl`	A Manifold Perspective on the Statistical Generalization of Graph Neural Networks. CoRR Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
2024	J	`jnl`	A Networked Multiagent System for Mobile Wireless Infrastructure on Demand. IEEE Trans. Robotics Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque
2024	J	`jnl`	A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra
2024	A*	`conf`	Constrained Diffusion Models via Dual Training. NeurIPS Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro
2024	J	`jnl`	Constrained Diffusion Models via Dual Training. CoRR Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro
2024	J	`jnl`	Constrained Learning for Decentralized Multi-Objective Coverage Control. CoRR Juan Cerviño, Saurav Agarwal, Vijay Kumar, Alejandro Ribeiro
2024	J	`jnl`	Convolutional Filtering with RKHS Algebras. CoRR Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro, Juan Andrés Bazerque
2024	A*	`conf`	Counting Graph Substructures with Graph Neural Networks. ICLR Charilaos I. Kanatsoulis, Alejandro Ribeiro
2024	J	`jnl`	Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. CoRR Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti
2024	J	`jnl`	Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. CoRR Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro
2024	J	`jnl`	DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. CoRR Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy
2024	J	`jnl`	Distributed Training of Large Graph Neural Networks with Variable Communication Rates. CoRR Juan Cerviño, Md Asadullah Turja, Hesham Mostafa, Nageen Himayat, Alejandro Ribeiro
2024	—	`conf`	EGNN-based Topology Control in Wireless Mobile Infrastructure on Demand with Shared Access Restrictions. GNNet@CoNEXT Mariana del Castillo, Alejandro Ribeiro, Federico Larroca
2024	J	`jnl`	GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation. CoRR Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro
2024	J	`jnl`	Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning. CoRR Shreyas Muthusamy, Damian Owerko, Charilaos I. Kanatsoulis, Saurav Agarwal, Alejandro Ribeiro
2024	J	`jnl`	Generalization of Geometric Graph Neural Networks. CoRR Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
2024	J	`jnl`	Generalization of Graph Neural Networks is Robust to Model Mismatch. CoRR Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
2024	—	`conf`	Generalization of Graph Neural Networks: Over Geometric Graphs Sampled from Manifolds. IEEECONF Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
2024	J	`jnl`	Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-Offs. IEEE Trans. Signal Process. Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2024	Misc	`conf`	Graph Neural Networks are More Powerful than We Think. ICASSP Charilaos I. Kanatsoulis, Alejandro Ribeiro
2024	J	`jnl`	ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. CoRR Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2024	J	`jnl`	LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control. CoRR Saurav Agarwal, Ramya Muthukrishnan, Walker Gosrich, Vijay Kumar, Alejandro Ribeiro
2024	B	`conf`	Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. GLOBECOM Yigit Berkay Uslu, Roya Doostnejad, Alejandro Ribeiro, Navid Naderializadeh
2024	J	`jnl`	Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. CoRR Yigit Berkay Uslu, Roya Doostnejad, Alejandro Ribeiro, Navid Naderializadeh
2024	J	`jnl`	Lie Group Algebra Convolutional Filters. IEEE Trans. Signal Process. Harshat Kumar, Alejandro Parada-Mayorga, Alejandro Ribeiro
2024	J	`jnl`	LoRTA: Low Rank Tensor Adaptation of Large Language Models. CoRR Ignacio Hounie, Charilaos I. Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro
2024	A*	`conf`	Loss Shaping Constraints for Long-Term Time Series Forecasting. ICML Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
2024	J	`jnl`	Loss Shaping Constraints for Long-Term Time Series Forecasting. CoRR Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
2024	A*	`conf`	Near-Optimal Solutions of Constrained Learning Problems. ICLR Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
2024	J	`jnl`	Near-Optimal Solutions of Constrained Learning Problems. CoRR Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
2024	A*	`conf`	Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks. ICML Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
2024	Misc	`conf`	Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations. ICASSP Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
2024	A*	`conf`	Opportunistic Communication in Robot Teams. ICRA Daniel Mox, Kashish Garg, Alejandro Ribeiro, Vijay Kumar
2024	A	`conf`	Resilient Constrained Reinforcement Learning. AISTATS Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro
2024	J	`jnl`	Robust Stochastically-Descending Unrolled Networks. IEEE Trans. Signal Process. Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro
2024	J	`jnl`	Sampling and Uniqueness Sets in Graphon Signal Processing. CoRR Alejandro Parada-Mayorga, Alejandro Ribeiro
2024	J	`jnl`	Stability to Deformations of Manifold Filters and Manifold Neural Networks. IEEE Trans. Signal Process. Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2024	J	`jnl`	State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards. IEEE Trans. Autom. Control. Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
2024	Misc	`conf`	State-Augmented Information Routing In Communication Systems With Graph Neural Networks. ICASSP Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro
2024	—	`conf`	T-Gae: Transferable Graph Autoencoder for Network Alignment. LoG Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2024	J	`jnl`	Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. IEEE Trans. Signal Process. Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2024	J	`jnl`	Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2024	Misc	`conf`	Unsupervised Optimal Power Flow Using Graph Neural Networks. ICASSP Damian Owerko, Fernando Gama, Alejandro Ribeiro
2023	J	`jnl`	"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. Digit. Scholarsh. Humanit. Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra
2023	J	`jnl`	A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand. CoRR Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque
2023	—	`conf`	Active Collaborative Localization in Heterogeneous Robot Teams. Robotics: Science and Systems Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
2023	J	`jnl`	Active Collaborative Localization in Heterogeneous Robot Teams. CoRR Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
2023	Misc	`conf`	Algebraic Convolutional Filters on Lie Group Algebras. ICASSP Harshat Kumar, Alejandro Parada-Mayorga, Alejandro Ribeiro
2023	J	`jnl`	Asynchronous Perception-Action-Communication with Graph Neural Networks. CoRR Saurav Agarwal, Alejandro Ribeiro, Vijay Kumar
2023	A*	`conf`	Automatic Data Augmentation via Invariance-Constrained Learning. ICML Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
2023	J	`jnl`	Constrained Learning With Non-Convex Losses. IEEE Trans. Inf. Theory Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2023	Misc	`conf`	Convergence of Graph Neural Networks on Relatively Sparse Graphs. ACSSC Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2023	Misc	`conf`	Convolutional Filtering on Sampled Manifolds. ICASSP Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2023	J	`jnl`	Convolutional Filters and Neural Networks With Noncommutative Algebras. IEEE Trans. Signal Process. Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
2023	J	`jnl`	Convolutional Learning on Multigraphs. IEEE Trans. Signal Process. Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2023	A*	`conf`	Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2023	J	`jnl`	Explainable Brain Age Prediction using coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
2023	J	`jnl`	FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR Hesham Mostafa, Adam Grabowski, Md Asadullah Turja, Juan Cerviño, Alejandro Ribeiro, Nageen Himayat
2023	J	`jnl`	Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2023	J	`jnl`	Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. CoRR Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar
2023	J	`jnl`	Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs. IEEE Trans. Signal Process. Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro
2023	—	`conf`	Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. LoG Shubhankar Prashant Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Danielle S. Bassett
2023	J	`jnl`	Intrinsically motivated graph exploration using network theories of human curiosity. CoRR Shubhankar P. Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Dani S. Bassett
2023	A*	`conf`	Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. NeurIPS Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
2023	J	`jnl`	Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. CoRR Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
2023	A*	`conf`	Learning Globally Smooth Functions on Manifolds. ICML Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro
2023	J	`jnl`	Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2023	J	`jnl`	Learning Resilient Radio Resource Management Policies With Graph Neural Networks. IEEE Trans. Signal Process. Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2023	J	`jnl`	Learning State-Augmented Policies for Information Routing in Communication Networks. CoRR Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro
2023	J	`jnl`	Learning by Transference: Training Graph Neural Networks on Growing Graphs. IEEE Trans. Signal Process. Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2023	Misc	`conf`	Learning with Multigraph Convolutional Filters. ICASSP Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2023	—	`conf`	Multi-Target Tracking with Transferable Convolutional Neural Networks. CAMSAP Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci, Alejandro Ribeiro
2023	Misc	`conf`	Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ICASSP Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
2023	—	`conf`	Navigation with Shadow Prices to Optimize Multi-Commodity Flow Rates. CDC Ignacio Boero, Igor Spasojevic, Mariana del Castillo, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
2023	J	`jnl`	Navigation with shadow prices to optimize multi-commodity flow rates. CoRR Ignacio Boero, Igor Spasojevic, Mariana del Castillo, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
2023	J	`jnl`	Network Alignment with Transferable Graph Autoencoders. CoRR Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023	Misc	`conf`	Neural Networks with Quantization Constraints. ICASSP Ignacio Hounie, Juan Elenter, Alejandro Ribeiro
2023	J	`jnl`	Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs. CoRR Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
2023	J	`jnl`	Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations. CoRR Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
2023	J	`jnl`	On the sample complexity of actor-critic method for reinforcement learning with function approximation. Mach. Learn. Harshat Kumar, Alec Koppel, Alejandro Ribeiro
2023	—	`conf`	Parametric Dictionary Learning for Topological Signal Representation. EUSIPCO Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro
2023	Misc	`conf`	Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2023	J	`jnl`	Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. CoRR Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro
2023	A*	`conf`	Resilient Constrained Learning. NeurIPS Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
2023	J	`jnl`	Resilient Constrained Learning. CoRR Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
2023	J	`jnl`	Resilient Constrained Reinforcement Learning. CoRR Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro
2023	A	`conf`	Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles. IROS Igor Spasojevic, Xu Liu, Ankit Prabhu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
2023	J	`jnl`	Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles. CoRR Igor Spasojevic, Xu Liu, Ankit Prabhu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
2023	J	`jnl`	Robust Stochastically-Descending Unrolled Networks. CoRR Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro
2023	J	`jnl`	Safe Policies for Reinforcement Learning via Primal-Dual Methods. IEEE Trans. Autom. Control. Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
2023	Misc	`conf`	Solving Large-Scale Spatial Problems with Convolutional Neural Networks. ACSSC Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023	J	`jnl`	Solving Large-scale Spatial Problems with Convolutional Neural Networks. CoRR Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023	Misc	`conf`	Space-Time Graph Neural Networks with Stochastic Graph Perturbations. ICASSP Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2023	J	`jnl`	Stability of Aggregation Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro
2023	J	`jnl`	Stochastic Unrolled Federated Learning. CoRR Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro
2023	J	`jnl`	Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back. CoRR Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023	Misc	`conf`	Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. ICASSP Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023	Misc	`conf`	Training Graph Neural Networks on Growing Stochastic Graphs. ICASSP Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2023	J	`jnl`	Transferability Properties of Graph Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2023	J	`jnl`	Transferability of Convolutional Neural Networks in Stationary Learning Tasks. CoRR Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci Jr., Alejandro Ribeiro
2023	J	`jnl`	Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. CoRR Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
2023	—	`conf`	Transferable Hypergraph Neural Networks via Spectral Similarity. LoG Mikhail Hayhoe, Hans Riess, Michael M. Zavlanos, Victor M. Preciado, Alejandro Ribeiro
2022	A*	`conf`	A Lagrangian Duality Approach to Active Learning. NeurIPS Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro
2022	J	`jnl`	A Lagrangian Duality Approach to Active Learning. CoRR Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro
2022	J	`jnl`	A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. CoRR Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	Misc	`conf`	Adaptive Wireless Power Allocation with Graph Neural Networks. ICASSP Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	A*	`conf`	An Agnostic Approach to Federated Learning with Class Imbalance. ICLR Zebang Shen, Juan Cerviño, Hamed Hassani, Alejandro Ribeiro
2022	J	`jnl`	Approximately Supermodular Scheduling Subject to Matroid Constraints. IEEE Trans. Autom. Control. Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
2022	J	`jnl`	Automatic Data Augmentation via Invariance-Constrained Learning. CoRR Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
2022	J	`jnl`	Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems. IEEE Trans. Signal Process. Zhan Gao, Alec Koppel, Alejandro Ribeiro
2022	J	`jnl`	Convolutional Filtering on Sampled Manifolds. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	J	`jnl`	Convolutional Learning on Multigraphs. CoRR Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2022	—	`conf`	Convolutional Neural Networks on Manifolds: From Graphs and Back. IEEECONF Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	J	`jnl`	Convolutional Neural Networks on Manifolds: From Graphs and Back. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	A*	`conf`	Coverage Control in Multi-Robot Systems via Graph Neural Networks. ICRA Walker Gosrich, Siddharth Mayya, Rebecca Li, James Paulos, Mark Yim, Alejandro Ribeiro, Vijay Kumar
2022	J	`jnl`	Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach. CoRR Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro, Donald J. Bucci Jr., Jennifer Bondarchuk
2022	J	`jnl`	EdgeNets: Edge Varying Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2022	J	`jnl`	Federated Representation Learning via Maximal Coding Rate Reduction. CoRR Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro
2022	J	`jnl`	Graph Neural Networks Are More Powerful Than we Think. CoRR Charilaos I. Kanatsoulis, Alejandro Ribeiro
2022	—	`conf`	Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar
2022	J	`jnl`	Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs. CoRR Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro
2022	J	`jnl`	How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, Gabriel Egan
2022	J	`jnl`	Learning Connectivity-Maximizing Network Configurations. IEEE Robotics Autom. Lett. Daniel Mox, Vijay Kumar, Alejandro Ribeiro
2022	J	`jnl`	Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. CoRR Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar
2022	J	`jnl`	Learning Decentralized Wireless Resource Allocations With Graph Neural Networks. IEEE Trans. Signal Process. Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Learning Globally Smooth Functions on Manifolds. CoRR Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro
2022	J	`jnl`	Learning Graph Structure from Convolutional Mixtures. CoRR Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2022	J	`jnl`	Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Learning with Multigraph Convolutional Filters. CoRR Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2022	J	`jnl`	Model-Free design of control systems over wireless fading channels. Signal Process. Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2022	J	`jnl`	Multi-task Bias-Variance Trade-off Through Functional Constraints. CoRR Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
2022	J	`jnl`	Navigation of a quadratic potential with ellipsoidal obstacles. Autom. Harshat Kumar, Santiago Paternain, Alejandro Ribeiro
2022	J	`jnl`	Neural Networks with Quantization Constraints. CoRR Ignacio Hounie, Juan Elenter, Alejandro Ribeiro
2022	J	`jnl`	Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes. IEEE Trans. Autom. Control. Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro
2022	J	`jnl`	Predicting Brain Age using Transferable coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2022	J	`jnl`	Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. IEEE Trans. Commun. Zhan Gao, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2022	A*	`conf`	Self-Consistency of the Fokker Planck Equation. COLT Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani
2022	J	`jnl`	Self-Consistency of the Fokker-Planck Equation. CoRR Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani
2022	J	`jnl`	Space-Time Graph Neural Networks with Stochastic Graph Perturbations. CoRR Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2022	A*	`conf`	Space-Time Graph Neural Networks. ICLR Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2022	J	`jnl`	Spherical convolutional neural networks: Stability to perturbations in SO(3). Signal Process. Zhan Gao, Fernando Gama, Alejandro Ribeiro
2022	J	`jnl`	Stability of Aggregation Graph Neural Networks. CoRR Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro
2022	Misc	`conf`	Stability of Neural Networks on Manifolds to Relative Perturbations. ICASSP Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	J	`jnl`	Stable and Transferable Hyper-Graph Neural Networks. CoRR Mikhail Hayhoe, Hans Riess, Victor M. Preciado, Alejandro Ribeiro
2022	Misc	`conf`	Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. CoRR Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. IEEE Trans. Signal Process. Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
2022	J	`jnl`	Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back. CoRR Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2022	J	`jnl`	Training Graph Neural Networks on Growing Stochastic Graphs. CoRR Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2022	Misc	`conf`	Training Stable Graph Neural Networks Through Constrained Learning. ICASSP Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2022	J	`jnl`	Unsupervised Optimal Power Flow Using Graph Neural Networks. CoRR Damian Owerko, Fernando Gama, Alejandro Ribeiro
2022	J	`jnl`	Wide and Deep Graph Neural Network With Distributed Online Learning. IEEE Trans. Signal Process. Zhan Gao, Fernando Gama, Alejandro Ribeiro
2022	A*	`conf`	coVariance Neural Networks. NeurIPS Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2022	J	`jnl`	coVariance Neural Networks. CoRR Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2021	B	`conf`	Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space. ISIT Harshat Kumar, Dionysios S. Kalogerias, George J. Pappas, Alejandro Ribeiro
2021	A*	`conf`	Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Algebraic Neural Networks: Stability to Deformations. IEEE Trans. Signal Process. Alejandro Parada-Mayorga, Alejandro Ribeiro
2021	J	`jnl`	Approximate Supermodularity of Kalman Filter Sensor Selection. IEEE Trans. Autom. Control. Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2021	J	`jnl`	Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas. IEEE Commun. Mag. Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro
2021	J	`jnl`	Composable Learning with Sparse Kernel Representations. CoRR Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
2021	J	`jnl`	Constrained Learning with Non-Convex Losses. CoRR Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2021	J	`jnl`	Convolutional Filtering and Neural Networks with Non Commutative Algebras. CoRR Alejandro Parada-Mayorga, Alejandro Ribeiro
2021	J	`jnl`	Coverage Control in Multi-Robot Systems via Graph Neural Networks. CoRR Walker Gosrich, Siddharth Mayya, Rebecca Li, James Paulos, Mark Yim, Alejandro Ribeiro, Vijay Kumar
2021	Misc	`conf`	Discriminability of Single-Layer Graph Neural Networks. ICASSP Samuel Pfrommer, Alejandro Ribeiro, Fernando Gama
2021	Misc	`conf`	Graph Neural Networks for Decentralized Controllers. ICASSP Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro
2021	J	`jnl`	Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar
2021	J	`jnl`	Graph Neural Networks: Architectures, Stability, and Transferability. Proc. IEEE Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2021	J	`jnl`	Graphon Signal Processing. IEEE Trans. Signal Process. Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2021	Misc	`conf`	Graphon and Graph Neural Network Stability. ICASSP Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
2021	J	`jnl`	Increase and Conquer: Training Graph Neural Networks on Growing Graphs. CoRR Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients. IEEE Robotics Autom. Lett. Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2021	J	`jnl`	Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients. CoRR Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2021	A	`conf`	Learning Connectivity for Data Distribution in Robot Teams. IROS Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro
2021	J	`jnl`	Learning Connectivity for Data Distribution in Robot Teams. CoRR Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro
2021	J	`jnl`	Learning Connectivity-Maximizing Network Configurations. CoRR Daniel Mox, Vijay Kumar, Alejandro Ribeiro
2021	J	`jnl`	Linear Quadratic Control with Risk Constraints. CoRR Anastasios Tsiamis, Dionysios S. Kalogerias, Alejandro Ribeiro, George J. Pappas
2021	A	`conf`	Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. IROS Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro
2021	J	`jnl`	Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. IEEE Trans. Signal Process. Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
2021	—	`conf`	Multi-task Supervised Learning via Cross-learning. EUSIPCO Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
2021	Misc	`conf`	Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
2021	J	`jnl`	Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. IEEE Trans. Autom. Control. Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro
2021	J	`jnl`	ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. CoRR Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
2021	J	`jnl`	ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. IEEE Robotics Autom. Lett. Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
2021	J	`jnl`	Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	C	`conf`	Source Seeking in Unknown Environments with Convex Obstacles. ACC Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas
2021	J	`jnl`	Space-Time Graph Neural Networks. CoRR Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
2021	Misc	`conf`	Stability of Algebraic Neural Networks to Small Perturbations. ICASSP Alejandro Parada-Mayorga, Alejandro Ribeiro
2021	J	`jnl`	Stability of Graph Convolutional Neural Networks to Stochastic Perturbations. CoRR Zhan Gao, Elvin Isufi, Alejandro Ribeiro
2021	J	`jnl`	Stability of Manifold Neural Networks to Deformations. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Stability of Neural Networks on Manifolds to Relative Perturbations. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2021	—	`conf`	Stability of Neural Networks on Riemannian Manifolds. EUSIPCO Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2021	—	`conf`	Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms. EUSIPCO Zhan Gao, Fernando Gama, Alejandro Ribeiro
2021	J	`jnl`	Stability of graph convolutional neural networks to stochastic perturbations. Signal Process. Zhan Gao, Elvin Isufi, Alejandro Ribeiro
2021	J	`jnl`	State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. CoRR Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
2021	J	`jnl`	Stochastic Graph Neural Networks. IEEE Trans. Signal Process. Zhan Gao, Elvin Isufi, Alejandro Ribeiro
2021	J	`jnl`	Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. IEEE Trans. Autom. Control. Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
2021	J	`jnl`	Sufficiently Accurate Model Learning for Planning. CoRR Clark Zhang, Santiago Paternain, Alejandro Ribeiro
2021	J	`jnl`	Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping. CoRR Zhan Gao, Subhrajit Bhattacharya, Leiming Zhang, Rick S. Blum, Alejandro Ribeiro, Brian M. Sadler
2021	J	`jnl`	Training Stable Graph Neural Networks Through Constrained Learning. CoRR Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Transferability Properties of Graph Neural Networks. CoRR Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2021	—	`conf`	Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2021	Misc	`conf`	Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. ICASSP Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2021	Misc	`conf`	VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	Misc	`conf`	Variance-Constrained Learning for Stochastic Graph Neural Networks. ICASSP Zhan Gao, Elvin Isufi, Alejandro Ribeiro
2021	J	`jnl`	Wide and Deep Graph Neural Network with Distributed Online Learning. CoRR Zhan Gao, Fernando Gama, Alejandro Ribeiro
2021	Misc	`conf`	Wide and Deep Graph Neural Networks with Distributed Online Learning. ICASSP Zhan Gao, Alejandro Ribeiro, Fernando Gama
2020	J	`jnl`	A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. J. Mach. Learn. Res. Aryan Mokhtari, Alec Koppel, Martin Takác, Alejandro Ribeiro
2020	Misc	`conf`	A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. ICASSP Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2020	J	`jnl`	Algebraic Neural Networks: Stability to Deformations. CoRR Alejandro Parada-Mayorga, Alejandro Ribeiro
2020	—	`conf`	Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. EUSIPCO Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2020	J	`jnl`	Approximately Supermodular Scheduling Subject to Matroid Constraints. CoRR Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
2020	J	`jnl`	Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems. CoRR Zhan Gao, Alec Koppel, Alejandro Ribeiro
2020	Misc	`conf`	Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization. ICASSP Zhan Gao, Alec Koppel, Alejandro Ribeiro
2020	Misc	`conf`	Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. ICASSP Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2020	—	`conf`	Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. ICC Workshops Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro
2020	—	`conf`	Counterfactual Programming for Optimal Control. L4DC Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2020	J	`jnl`	Decentralized Control with Graph Neural Networks. CoRR Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
2020	Misc	`conf`	Decentralized Wireless Resource Allocation with Graph Neural Networks. ACSSC Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Discriminability of Single-Layer Graph Neural Networks. CoRR Samuel Pfrommer, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Distributed Constrained Online Learning. IEEE Trans. Signal Process. Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro
2020	J	`jnl`	EdgeNets: Edge Varying Graph Neural Networks. CoRR Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2020	A	`conf`	Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. AISTATS Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác
2020	Misc	`conf`	Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. ICASSP Maria Peifer, Alejandro Ribeiro
2020	J	`jnl`	Functional Nonlinear Sparse Models. IEEE Trans. Signal Process. Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2020	J	`jnl`	Gated Graph Recurrent Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Gated Graph Recurrent Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Graph Neural Networks for Decentralized Controllers. CoRR Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro
2020	A	`conf`	Graph Neural Networks for Decentralized Multi-Robot Path Planning. IROS Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2020	A	`conf`	Graph Neural Networks for Decentralized Path Planning. AAMAS Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2020	J	`jnl`	Graph Neural Networks for Motion Planning. CoRR Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar, Anthony G. Francis
2020	J	`jnl`	Graph Neural Networks: Architectures, Stability and Transferability. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Graph and graphon neural network stability. CoRR Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
2020	—	`conf`	Graph-Adaptive Activation Functions for Graph Neural Networks. MLSP Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi
2020	—	`conf`	Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	A*	`conf`	Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	—	`conf`	Graphon Pooling in Graph Neural Networks. EUSIPCO Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
2020	J	`jnl`	Graphon Pooling in Graph Neural Networks. CoRR Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
2020	J	`jnl`	Graphs, Convolutions, and Neural Networks. CoRR Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
2020	J	`jnl`	Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. IEEE Signal Process. Mag. Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
2020	J	`jnl`	Invariance-Preserving Localized Activation Functions for Graph Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Fernando Gama, Antonio Garcia Marques, Alejandro Ribeiro
2020	—	`conf`	Learning Constrained Resource Allocation Policies in Wireless Control Systems. CDC Vinícius Lima, Mark Eisen, Alejandro Ribeiro
2020	Misc	`conf`	Metric Representations of Networks: A Uniqueness Result. ICASSP Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
2020	A*	`conf`	Mobile Wireless Network Infrastructure on Demand. ICRA Daniel Mox, Miguel Calvo-Fullana, Mikhail Gerasimenko, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
2020	J	`jnl`	Mobile Wireless Network Infrastructure on Demand. CoRR Daniel Mox, Miguel Calvo-Fullana, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
2020	J	`jnl`	Model-Free Design of Control Systems over Wireless Fading Channels. CoRR Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2020	J	`jnl`	Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. IEEE Trans. Signal Process. Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2020	J	`jnl`	Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. CoRR Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro
2020	J	`jnl`	Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. CoRR Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
2020	J	`jnl`	Multi-task Supervised Learning via Cross-learning. CoRR Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
2020	C	`conf`	Navigation of a Quadratic Potential with Star Obstacles. ACC Harshat Kumar, Santiago Paternain, Alejandro Ribeiro
2020	J	`jnl`	Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
2020	Misc	`conf`	Optimal Power Flow Using Graph Neural Networks. ICASSP Damian Owerko, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples. CoRR Juan Cerviño, Harshat Kumar, Alejandro Ribeiro
2020	J	`jnl`	Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes. CoRR Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro
2020	A*	`conf`	Probably Approximately Correct Constrained Learning. NeurIPS Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Probably Approximately Correct Constrained Learning. CoRR Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Quiver Signal Processing (QSP). CoRR Alejandro Parada-Mayorga, Hans Riess, Alejandro Ribeiro, Robert Ghrist
2020	J	`jnl`	Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors. IEEE Trans. Signal Process. Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
2020	—	`conf`	Resilient Control: Compromising to Adapt. CDC Luiz F. O. Chamon, Alexandre Amice, Santiago Paternain, Alejandro Ribeiro
2020	—	`conf`	Resource Allocation in Wireless Control Systems via Deep Policy Gradient. SPAWC Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2020	B	`conf`	Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. GLOBECOM Zhan Gao, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. CoRR Zhan Gao, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. CoRR Zhan Gao, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Rethinking sketching as sampling: A graph signal processing approach. Signal Process. Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2020	—	`conf`	Risk-Constrained Linear-Quadratic Regulators. CDC Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas
2020	J	`jnl`	Risk-Constrained Linear-Quadratic Regulators. CoRR Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas
2020	—	`conf`	Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. ICC Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti
2020	A*	`conf`	Sinkhorn Barycenter via Functional Gradient Descent. NeurIPS Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	J	`jnl`	Sinkhorn Barycenter via Functional Gradient Descent. CoRR Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	A*	`conf`	Sinkhorn Natural Gradient for Generative Models. NeurIPS Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	J	`jnl`	Sinkhorn Natural Gradient for Generative Models. CoRR Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	J	`jnl`	Sparse Multiresolution Representations With Adaptive Kernels. IEEE Trans. Signal Process. Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2020	Misc	`conf`	Spatial Gating Strategies for Graph Recurrent Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3). CoRR Zhan Gao, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Stability Properties of Graph Neural Networks. IEEE Trans. Signal Process. Fernando Gama, Joan Bruna, Alejandro Ribeiro
2020	J	`jnl`	Stability of Algebraic Neural Networks to Small Perturbations. CoRR Alejandro Parada-Mayorga, Alejandro Ribeiro
2020	Misc	`conf`	Stability of Graph Neural Networks to Relative Perturbations. ICASSP Fernando Gama, Alejandro Ribeiro, Joan Bruna
2020	J	`jnl`	Stochastic Artificial Potentials for Online Safe Navigation. IEEE Trans. Autom. Control. Santiago Paternain, Alejandro Ribeiro
2020	Misc	`conf`	Stochastic Graph Neural Networks. ICASSP Zhan Gao, Elvin Isufi, Alejandro Ribeiro
2020	J	`jnl`	Stochastic Graph Neural Networks. CoRR Zhan Gao, Elvin Isufi, Alejandro Ribeiro
2020	J	`jnl`	Stochastic Quasi-Newton Methods. Proc. IEEE Aryan Mokhtari, Alejandro Ribeiro
2020	A*	`conf`	Sufficiently Accurate Model Learning. ICRA Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro
2020	Misc	`conf`	The Empirical Duality Gap of Constrained Statistical Learning. ICASSP Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2020	Misc	`conf`	The Graphon Fourier Transform. ICASSP Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	The empirical duality gap of constrained statistical learning. CoRR Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2020	Misc	`conf`	Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. ICASSP Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning. CoRR Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2020	J	`jnl`	Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks. CoRR Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. CoRR Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2020	J	`jnl`	Wide and Deep Graph Neural Networks with Distributed Online Learning. CoRR Zhan Gao, Fernando Gama, Alejandro Ribeiro
2020	—	`conf`	Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. SPAWC Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. CoRR Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Zeroth-order Deterministic Policy Gradient. CoRR Harshat Kumar, Dionysios S. Kalogerias, George J. Pappas, Alejandro Ribeiro
2019	J	`jnl`	A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points. SIAM J. Optim. Santiago Paternain, Aryan Mokhtari, Alejandro Ribeiro
2019	J	`jnl`	A Prediction-Correction Algorithm for Real-Time Model Predictive Control. CoRR Santiago Paternain, Manfred Morari, Alejandro Ribeiro
2019	C	`conf`	A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization. ACC Santiago Paternain, Mahyar Fazlyab, Victor M. Preciado, Alejandro Ribeiro
2019	J	`jnl`	A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization. IEEE Trans. Signal Process. Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2019	Misc	`conf`	Aggregation Graph Neural Networks. ICASSP Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2019	J	`jnl`	Approximate Supermodularity of Kalman Filter Sensor Selection. CoRR Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2019	J	`jnl`	Connecting the Dots: Identifying Network Structure via Graph Signal Processing. IEEE Signal Process. Mag. Gonzalo Mateos, Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2019	—	`conf`	Constrained Online Learning in Networks with Sublinear Regret and Fit. CDC Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro
2019	A*	`conf`	Constrained Reinforcement Learning Has Zero Duality Gap. NeurIPS Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
2019	J	`jnl`	Constrained Reinforcement Learning Has Zero Duality Gap. CoRR Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
2019	Misc	`conf`	Control Aware Communication Design for Time Sensitive Wireless Systems. ICASSP Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
2019	J	`jnl`	Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. IEEE Internet Things J. Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
2019	J	`jnl`	Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. CoRR Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro
2019	J	`jnl`	Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs. IEEE Trans. Signal Process. Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus
2019	J	`jnl`	Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs. CoRR Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus
2019	Misc	`conf`	Convolutional Graph Neural Networks. ACSSC Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2019	J	`jnl`	Convolutional Neural Network Architectures for Signals Supported on Graphs. IEEE Trans. Signal Process. Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2019	Misc	`conf`	Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. ACSSC Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus
2019	—	`conf`	Diffusion Scattering Transforms on Graphs. ICLR (Poster) Fernando Gama, Alejandro Ribeiro, Joan Bruna
2019	Misc	`conf`	Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	J	`jnl`	Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers. IEEE Trans. Signal Process. Fernando Gama, Alejandro Ribeiro
2019	—	`conf`	Gated Graph Convolutional Recurrent Neural Networks. EUSIPCO Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Gated Graph Convolutional Recurrent Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2019	—	`conf`	Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. EUSIPCO Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. CoRR Elvin Isufi, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Graph Neural Networks for Decentralized Multi-Robot Path Planning. CoRR Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2019	Misc	`conf`	Graph Policy Gradients for Large Scale Robot Control. CoRL Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
2019	J	`jnl`	Graph Policy Gradients for Large Scale Robot Control. CoRR Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
2019	J	`jnl`	Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints. CoRR Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2019	A*	`conf`	Hessian Aided Policy Gradient. ICML Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi
2019	J	`jnl`	Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2019	A	`conf`	Inverse Optimal Planning for Air Traffic Control. IROS Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
2019	J	`jnl`	Inverse Optimal Planning for Air Traffic Control. CoRR Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
2019	—	`conf`	Large Scale Wireless Power Allocation with Graph Neural Networks. SPAWC Mark Eisen, Alejandro Ribeiro
2019	Misc	`conf`	Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRL Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
2019	J	`jnl`	Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRR Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
2019	Misc	`conf`	Learning Gaussian Processes with Bayesian Posterior Optimization. ACSSC Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2019	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	—	`conf`	Learning Safe Policies via Primal-Dual Methods. CDC Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
2019	A	`conf`	Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. IROS Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar
2019	J	`jnl`	Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. CoRR Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar
2019	J	`jnl`	Learning Task Agnostic Sufficiently Accurate Models. CoRR Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro
2019	J	`jnl`	Learning in Wireless Control Systems Over Nonstationary Channels. IEEE Trans. Signal Process. Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2019	—	`conf`	Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling. CDC Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
2019	Misc	`conf`	Median Activation Functions for Graph Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2019	C	`conf`	Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. ACC Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
2019	J	`jnl`	Metric Representations of Networks: A Uniqueness Result. CoRR Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
2019	C	`conf`	Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection. ACC Vinícius Lima Silva, Luiz F. O. Chamon, Alejandro Ribeiro
2019	J	`jnl`	Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. CoRR Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2019	—	`conf`	Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems. SPAWC Tanmay Ram Godbole, Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro, Mikko Valkama
2019	Misc	`conf`	Multi-mode Autonomous Communication Systems. ACSSC Miguel Calvo-Fullana, Fikadu T. Dagefu, Brian M. Sadler, Alejandro Ribeiro
2019	—	`conf`	Navigation of a Quadratic Potential with Ellipsoidal Obstacles. CDC Harshat Kumar, Santiago Paternain, Alejandro Ribeiro
2019	J	`jnl`	On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation. CoRR Harshat Kumar, Alec Koppel, Alejandro Ribeiro
2019	J	`jnl`	Optimal Power Flow Using Graph Neural Networks. CoRR Damian Owerko, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. CoRR Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2019	B	`conf`	Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. GLOBECOM Zhan Gao, Mark Eisen, Alejandro Ribeiro
2019	J	`jnl`	Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. J. Mach. Learn. Res. Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2019	—	`conf`	Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces. CDC Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
2019	—	`conf`	Real-Time Model Predictive Control Based on Prediction-Correction Algorithms. CDC Santiago Paternain, Manfred Morari, Alejandro Ribeiro
2019	J	`jnl`	Risk-Aware MMSE Estimation. CoRR Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2019	J	`jnl`	Safe Policies for Reinforcement Learning via Primal-Dual Methods. CoRR Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
2019	J	`jnl`	Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. CoRR Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti
2019	J	`jnl`	Source Seeking in Unknown Environments with Convex Obstacles. CoRR Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas
2019	Misc	`conf`	Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. ICASSP Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2019	Misc	`conf`	Sparse Recovery over Nonlinear Dictionaries. ICASSP Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2019	J	`jnl`	Sparse multiresolution representations with adaptive kernels. CoRR Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2019	J	`jnl`	Stability Properties of Graph Neural Networks. CoRR Fernando Gama, Joan Bruna, Alejandro Ribeiro
2019	J	`jnl`	Stability of Graph Neural Networks to Relative Perturbations. CoRR Fernando Gama, Joan Bruna, Alejandro Ribeiro
2019	A*	`conf`	Stability of Graph Scattering Transforms. NeurIPS Fernando Gama, Alejandro Ribeiro, Joan Bruna
2019	J	`jnl`	Stability of Graph Scattering Transforms. CoRR Fernando Gama, Joan Bruna, Alejandro Ribeiro
2018	J	`jnl`	A Graph Signal Processing Perspective on Functional Brain Imaging. Proc. IEEE Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville
2018	—	`conf`	A Newton Method for Faster Navigation in Cluttered Environments. CDC Santiago Paternain, Aryan Mokhtari, Alejandro Ribeiro
2018	C	`conf`	A Prediction-Correction Method for Model Predictive Control. ACC Santiago Paternain, Manfred Morari, Alejandro Ribeiro
2018	J	`jnl`	Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems. SIAM J. Optim. Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado
2018	—	`conf`	CNN Architectures for Graph Data. GlobalSIP Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2018	A	`conf`	Composable Learning with Sparse Kernel Representations. IROS Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
2018	J	`jnl`	Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. CoRR Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
2018	Misc	`conf`	Control of Graph Signals Over Random Time-Varying Graphs. ICASSP Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro
2018	J	`jnl`	Convolutional Neural Networks Architectures for Signals Supported on Graphs. CoRR Fernando Gama, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2018	—	`conf`	Convolutional Neural Networks via Node-Varying Graph Filters. DSW Fernando Gama, Geert Leus, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Decentralized Online Learning With Kernels. IEEE Trans. Signal Process. Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2018	Misc	`conf`	Decentralized Online Nonparametric Learning. ACSSC Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2018	J	`jnl`	Demand Response With Communicating Rational Consumers. IEEE Trans. Smart Grid Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro
2018	J	`jnl`	Diffusion Scattering Transforms on Graphs. CoRR Fernando Gama, Alejandro Ribeiro, Joan Bruna
2018	J	`jnl`	Distributed Fictitious Play for Multiagent Systems in Uncertain Environments. IEEE Trans. Autom. Control. Ceyhun Eksin, Alejandro Ribeiro
2018	J	`jnl`	Distributed Inertial Best-Response Dynamics. IEEE Trans. Autom. Control. Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro
2018	C	`conf`	Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods. ACC Mahyar Fazlyab, Santiago Paternain, Alejandro Ribeiro, Victor M. Preciado
2018	J	`jnl`	Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. CoRR Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác
2018	J	`jnl`	Functional Nonlinear Sparse Models. CoRR Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2018	Misc	`conf`	Graph Signal Processing of Human Brain Imaging Data. ICASSP Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville
2018	J	`jnl`	Greedy Sampling of Graph Signals. IEEE Trans. Signal Process. Luiz F. O. Chamon, Alejandro Ribeiro
2018	J	`jnl`	Hierarchical Clustering Given Confidence Intervals of Metric Distances. IEEE Trans. Signal Process. Weiyu Huang, Alejandro Ribeiro
2018	J	`jnl`	Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. IEEE Trans. Signal Inf. Process. over Networks Fernando Gama, Santiago Segarra, Alejandro Ribeiro
2018	J	`jnl`	Hierarchical clustering of asymmetric networks. Adv. Data Anal. Classif. Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2018	J	`jnl`	IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. SIAM J. Optim. Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
2018	A	`conf`	Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. AISTATS Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2018	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. CoRR Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	—	`conf`	Learning Policies for Markov Decision Processes in Continuous Spaces. CDC Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
2018	A	`conf`	Learning Sample-Efficient Target Reaching for Mobile Robots. IROS Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2018	J	`jnl`	Learning Sample-Efficient Target Reaching for Mobile Robots. CoRR Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2018	Misc	`conf`	Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. ICASSP Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2018	C	`conf`	Learning in Non-Stationary Wireless Control Systems via Newton's Method. ACC Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2018	Misc	`conf`	Locally Adaptive Kernel Estimation Using Sparse Functional Programming. ACSSC Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2018	—	`conf`	MIMO Graph Filters for Convolutional Neural Networks. SPAWC Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2018	J	`jnl`	MIMO Graph Filters for Convolutional Neural Networks. CoRR Fernando Gama, Antonio G. Marques, Alejandro Ribeiro, Geert Leus
2018	Misc	`conf`	Matrix Completion as Graph Bandlimited Reconstruction. ICASSP Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Median activation functions for graph neural networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series. CoRR Weiyu Huang, Yunlong Wang, Li Zhou, Emily Zhao, Yilian Yuan, Alejandro Ribeiro
2018	J	`jnl`	Navigation Functions for Convex Potentials in a Space With Convex Obstacles. IEEE Trans. Autom. Control. Santiago Paternain, Daniel E. Koditschek, Alejandro Ribeiro
2018	J	`jnl`	Network Comparison: Embeddings and Interiors. IEEE Trans. Signal Process. Weiyu Huang, Alejandro Ribeiro
2018	C	`conf`	Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. ACC Ekaterina I. Tolstaya, Alec Koppel, Ethan Stump, Alejandro Ribeiro
2018	J	`jnl`	Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. CoRR Alec Koppel, Ekaterina I. Tolstaya, Ethan Stump, Alejandro Ribeiro
2018	Misc	`conf`	Online Deep Learning in Wireless Communication Systems. ACSSC Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	—	`conf`	Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels. SPAWC Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2018	Misc	`conf`	Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning. ICASSP Alec Koppel, Aryan Mokhtari, Alejandro Ribeiro
2018	—	`conf`	Predicting Power Outages Using Graph Neural Networks. GlobalSIP Damian Owerko, Fernando Gama, Alejandro Ribeiro
2018	J	`jnl`	Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization. IEEE Trans. Autom. Control. Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro Ribeiro
2018	J	`jnl`	Random Access Communication for Wireless Control Systems with Energy Harvesting Sensors. CoRR Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
2018	J	`jnl`	Random access design for wireless control systems. Autom. Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
2018	J	`jnl`	Rating Prediction via Graph Signal Processing. IEEE Trans. Signal Process. Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. CoRR Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro
2018	J	`jnl`	Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. CoRR Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
2018	J	`jnl`	Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. IEEE Trans. Signal Process. Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
2018	Misc	`conf`	Strong Duality of Sparse Functional Optimization. ICASSP Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2018	J	`jnl`	Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. Mark Eisen, Alejandro Ribeiro, Santiago Segarra, Gabriel Egan
2018	J	`jnl`	Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate. SIAM J. Optim. Aryan Mokhtari, Mert Gürbüzbalaban, Alejandro Ribeiro
2017	Misc	`conf`	A double incremental aggregated gradient method with linear convergence rate for large-scale optimization. ICASSP Aryan Mokhtari, Mert Gürbüzbalaban, Alejandro Ribeiro
2017	—	`conf`	A dynamical systems perspective to convergence rate analysis of proximal algorithms. Allerton Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado
2017	Misc	`conf`	A primal-dual Quasi-Newton method for consensus optimization. ACSSC Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2017	C	`conf`	A variational approach to dual methods for constrained convex optimization. ACC Mahyar Fazlyab, Alec Koppel, Victor M. Preciado, Alejandro Ribeiro
2017	J	`jnl`	Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. IEEE Trans. Signal Inf. Process. over Networks Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2017	Misc	`conf`	An incremental quasi-Newton method with a local superlinear convergence rate. ICASSP Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
2017	—	`conf`	Approximate Supermodularity Bounds for Experimental Design. NIPS Luiz F. O. Chamon, Alejandro Ribeiro
2017	J	`jnl`	Approximate Supermodularity Bounds for Experimental Design. CoRR Luiz F. O. Chamon, Alejandro Ribeiro
2017	Misc	`conf`	Axiomatic hierarchical clustering given intervals of metric distances. ICASSP Weiyu Huang, Alejandro Ribeiro
2017	J	`jnl`	Blind Identification of Graph Filters. IEEE Trans. Signal Process. Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2017	Misc	`conf`	Brain signal analytics from graph signal processing perspective. ICASSP Leah Goldsberry, Weiyu Huang, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro
2017	—	`conf`	Collaborative filtering via graph signal processing. EUSIPCO Weiyu Huang, Antonio G. Marques, Alejandro Ribeiro
2017	J	`jnl`	Concurrent Control of Mobility and Communication in Multirobot Systems. IEEE Trans. Robotics James Stephan, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
2017	J	`jnl`	Convolutional Neural Networks Via Node-Varying Graph Filters. CoRR Fernando Gama, Geert Leus, Antonio Garcia Marques, Alejandro Ribeiro
2017	J	`jnl`	Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks. IEEE Trans. Signal Inf. Process. over Networks Pascal Frossard, Pier Luigi Dragotti, Antonio Ortega, Michael G. Rabbat, Alejandro Ribeiro
2017	J	`jnl`	D4L: Decentralized Dynamic Discriminative Dictionary Learning. IEEE Trans. Signal Inf. Process. over Networks Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2017	J	`jnl`	Decentralized Online Learning with Kernels. CoRR Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2017	J	`jnl`	Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. IEEE Trans. Autom. Control. Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2017	J	`jnl`	Decentralized Quasi-Newton Methods. IEEE Trans. Signal Process. Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2017	—	`conf`	Decentralized efficient nonparametric stochastic optimization. GlobalSIP Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2017	—	`conf`	Design of weighted median graph filters. CAMSAP Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro
2017	—	`conf`	Distributed estimation of smooth graph power spectral density. GlobalSIP Fernando Gama, Alejandro Ribeiro
2017	—	`conf`	Finite-precision effects on graph filters. GlobalSIP Luiz F. O. Chamon, Alejandro Ribeiro
2017	—	`conf`	First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization. NIPS Aryan Mokhtari, Alejandro Ribeiro
2017	J	`jnl`	First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization. CoRR Aryan Mokhtari, Alejandro Ribeiro
2017	J	`jnl`	Greedy Sampling of Graph Signals. CoRR Luiz F. O. Chamon, Alejandro Ribeiro
2017	J	`jnl`	IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. CoRR Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
2017	J	`jnl`	Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing. IEEE J. Sel. Top. Signal Process. Pascal Frossard, Pier Luigi Dragotti, Antonio Ortega, Michael G. Rabbat, Alejandro Ribeiro
2017	J	`jnl`	Introduction to the Issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. Abdelhak M. Zoubir, Jorge Plata-Chaves, Daniel Pérez Palomar, Anna Scaglione, Alejandro Ribeiro
2017	J	`jnl`	Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. CoRR Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2017	Misc	`conf`	Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation. ICASSP Aryan Mokhtari, Alec Koppel, Gesualdo Scutari, Alejandro Ribeiro
2017	J	`jnl`	Network Comparison: Embeddings and Interiors. CoRR Weiyu Huang, Alejandro Ribeiro
2017	J	`jnl`	Network Newton Distributed Optimization Methods. IEEE Trans. Signal Process. Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
2017	J	`jnl`	Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2017	J	`jnl`	Online Learning of Feasible Strategies in Unknown Environments. IEEE Trans. Autom. Control. Santiago Paternain, Alejandro Ribeiro
2017	J	`jnl`	Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators. IEEE Trans. Signal Process. Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2017	Misc	`conf`	Parsimonious Online Learning with Kernels via sparse projections in function space. ICASSP Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2017	Misc	`conf`	Partial embedding distance for networks. ACSSC Weiyu Huang, Alejandro Ribeiro
2017	J	`jnl`	Persistent Homology Lower Bounds on High-Order Network Distances. IEEE Trans. Signal Process. Weiyu Huang, Alejandro Ribeiro
2017	J	`jnl`	Proximity Without Consensus in Online Multiagent Optimization. IEEE Trans. Signal Process. Alec Koppel, Brian M. Sadler, Alejandro Ribeiro
2017	C	`conf`	Random access policies for wireless networked control systems with energy harvesting sensors. ACC Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
2017	Misc	`conf`	Robust network topology inference. ICASSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2017	—	`conf`	Safe online navigation of convex potentials in spaces with convex obstacles. CDC Santiago Paternain, Alejandro Ribeiro
2017	J	`jnl`	Stationary Graph Processes and Spectral Estimation. IEEE Trans. Signal Process. Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2017	Misc	`conf`	Stationary graph processes: Parametric power spectral estimation. ICASSP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2017	J	`jnl`	Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation. IEEE Trans. Signal Process. Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis
2017	J	`jnl`	Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. CoRR Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
2017	Misc	`conf`	Stochastic backpressure in energy harvesting networks. ICASSP Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Alejandro Ribeiro
2017	J	`jnl`	The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. CoRR Geert Leus, Santiago Segarra, Alejandro Ribeiro, Antonio G. Marques
2017	—	`conf`	The mean square error in Kalman filtering sensor selection is approximately supermodular. CDC Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2017	Misc	`conf`	Universal bounds for the sampling of graph signals. ICASSP Luiz F. O. Chamon, Alejandro Ribeiro
2017	Misc	`conf`	Weak law of large numbers for stationary graph processes. ICASSP Fernando Gama, Alejandro Ribeiro
2016	J	`jnl`	A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. CoRR Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
2016	J	`jnl`	A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. IEEE Trans. Signal Process. Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro
2016	J	`jnl`	A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization. CoRR Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2016	J	`jnl`	A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. CoRR Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	J	`jnl`	A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	—	`conf`	A Quasi-newton prediction-correction method for decentralized dynamic convex optimization. ECC Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2016	—	`conf`	A data-driven approach to stochastic network optimization. GlobalSIP Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis
2016	—	`conf`	A decentralized Second-Order Method for Dynamic Optimization. CDC Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	—	`conf`	A decentralized quasi-Newton method for dual formulations of consensus optimization. CDC Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2016	—	`conf`	Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. NIPS Aryan Mokhtari, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Alejandro Ribeiro
2016	J	`jnl`	Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. CoRR Aryan Mokhtari, Alejandro Ribeiro
2016	J	`jnl`	Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2016	—	`conf`	An asynchronous Quasi-Newton method for consensus optimization. GlobalSIP Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2016	—	`conf`	Axiomatic hierarchical clustering for intervals of metric distances. GlobalSIP Weiyu Huang, Alejandro Ribeiro
2016	J	`jnl`	Blind Identification of Graph Filters. CoRR Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2016	Misc	`conf`	Blind identification of graph filters with multiple sparse inputs. ICASSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	—	`conf`	Center-weighted median graph filters. GlobalSIP Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro
2016	—	`conf`	Control-Aware Random Access Communication. ICCPS Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
2016	J	`jnl`	DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	J	`jnl`	DSA: Decentralized Double Stochastic Averaging Gradient Algorithm. J. Mach. Learn. Res. Aryan Mokhtari, Alejandro Ribeiro
2016	J	`jnl`	Decentralized Dynamic Discriminative Dictionary Learning. CoRR Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2016	J	`jnl`	Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. CoRR Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2016	—	`conf`	Decentralized constrained consensus optimization with primal dual splitting projection. GlobalSIP Han Zhang, Wei Shi, Aryan Mokhtari, Alejandro Ribeiro, Qing Ling
2016	—	`conf`	Decentralized online optimization with heterogeneous data sources. GlobalSIP Alec Koppel, Brian M. Sadler, Alejandro Ribeiro
2016	Misc	`conf`	Diffusion filtering of graph signals and its use in recommendation systems. ICASSP Jeremy Ma, Weiyu Huang, Santiago Segarra, Alejandro Ribeiro
2016	J	`jnl`	Distributed Fictitious Play for Optimal Behavior of Multi-Agent Systems with Incomplete Information. CoRR Ceyhun Eksin, Alejandro Ribeiro
2016	—	`conf`	Distributed continuous-time online optimization using saddle-point methods. CDC Soomin Lee, Alejandro Ribeiro, Michael M. Zavlanos
2016	—	`conf`	Distributed fictitious play for multi-agent systems with uncertainty. GlobalSIP Ceyhun Eksin, Alejandro Ribeiro
2016	J	`jnl`	Doubly Random Parallel Stochastic Methods for Large Scale Learning. CoRR Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
2016	C	`conf`	Doubly random parallel stochastic methods for large scale learning. ACC Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
2016	Misc	`conf`	Doubly stochastic algorithms for large-scale optimization. ACSSC Alec Koppel, Aryan Mokhtari, Alejandro Ribeiro
2016	J	`jnl`	Excisive Hierarchical Clustering Methods for Network Data. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2016	J	`jnl`	Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information. CoRR Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro
2016	J	`jnl`	Graph Frequency Analysis of Brain Signals. IEEE J. Sel. Top. Signal Process. Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro
2016	J	`jnl`	Hierarchical Clustering Given Confidence Intervals of Metric Distances. CoRR Weiyu Huang, Alejandro Ribeiro
2016	J	`jnl`	Hierarchical Clustering of Asymmetric Networks. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2016	J	`jnl`	Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. CoRR Fernando Gama, Santiago Segarra, Alejandro Ribeiro
2016	A*	`conf`	Hybrid architecture for communication-aware multi-robot systems. ICRA James Stephan, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
2016	C	`conf`	Interior point method for dynamic constrained optimization in continuous time. ACC Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro Ribeiro
2016	—	`conf`	Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty. CDC Ceyhun Eksin, Brian Swenson, Soummya Kar, Alejandro Ribeiro
2016	J	`jnl`	Learning to Coordinate in Social Networks. Oper. Res. Pooya Molavi, Ceyhun Eksin, Alejandro Ribeiro, Ali Jadbabaie
2016	Misc	`conf`	Linear network operators using node-variant graph filters. ICASSP Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2016	J	`jnl`	Metrics in the Space of High Order Networks. IEEE Trans. Signal Process. Weiyu Huang, Alejandro Ribeiro
2016	—	`conf`	Near-optimality of greedy set selection in the sampling of graph signals. GlobalSIP Luiz F. O. Chamon, Alejandro Ribeiro
2016	J	`jnl`	Network Topology Identification from Spectral Templates. CoRR Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	J	`jnl`	Network Topology Inference from Spectral Templates. CoRR Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	Misc	`conf`	Network topology identification from imperfect spectral templates. ACSSC Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	—	`conf`	Network topology identification from spectral templates. SSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	J	`jnl`	Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems. CoRR Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro
2016	A	`conf`	Online learning for characterizing unknown environments in ground robotic vehicle models. IROS Alec Koppel, Jonathan Fink, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2016	—	`conf`	Online optimization in dynamic environments: Improved regret rates for strongly convex problems. CDC Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie, Alejandro Ribeiro
2016	Misc	`conf`	Overlapping clustering of network data using cut metrics. ICASSP Fernando Gama, Santiago Segarra, Alejandro Ribeiro
2016	J	`jnl`	Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. CoRR Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2016	Misc	`conf`	Persistent homology lower bounds on distances in the space of networks. ACSSC Weiyu Huang, Alejandro Ribeiro
2016	Misc	`conf`	Persistent homology lower bounds on network distances. ICASSP Weiyu Huang, Alejandro Ribeiro
2016	J	`jnl`	Proximity Without Consensus in Online Multi-Agent Optimization. CoRR Alec Koppel, Brian M. Sadler, Alejandro Ribeiro
2016	Misc	`conf`	Proximity without consensus in online multi-agent optimization. ICASSP Alec Koppel, Brian M. Sadler, Alejandro Ribeiro
2016	J	`jnl`	Reconstruction of Graph Signals Through Percolation from Seeding Nodes. IEEE Trans. Signal Process. Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2016	J	`jnl`	Rethinking Sketching as Sampling: A Graph Signal Processing Approach. CoRR Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	—	`conf`	Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. GlobalSIP Fernando Garna, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	Misc	`conf`	Rethinking sketching as sampling: Linear transforms of graph signals. ACSSC Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
2016	J	`jnl`	Sampling of Graph Signals With Successive Local Aggregations. IEEE Trans. Signal Process. Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2016	—	`conf`	Self-triggered time-varying convex optimization. CDC Mahyar Fazlyab, Cameron Nowzari, George J. Pappas, Alejandro Ribeiro, Victor M. Preciado
2016	Misc	`conf`	Space-shift sampling of graph signals. ICASSP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2016	J	`jnl`	Stability and Continuity of Centrality Measures in Weighted Graphs. IEEE Trans. Signal Process. Santiago Segarra, Alejandro Ribeiro
2016	—	`conf`	State-based communication design for wireless control systems. CDC Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
2016	J	`jnl`	Stationary Graph Processes and Spectral Estimation. CoRR Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2016	—	`conf`	Stationary graph processes: Nonparametric spectral estimation. SAM Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2016	J	`jnl`	Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation. CoRR Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis
2016	J	`jnl`	Stylometric Analysis of Early Modern Period English Plays. CoRR Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro
2016	J	`jnl`	Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate. CoRR Aryan Mokhtari, Mert Gürbüzbalaban, Alejandro Ribeiro
2016	Misc	`conf`	System architectures for communication-aware multi-robot navigation. ICASSP James Stephan, Jonathan Fink, Alejandro Ribeiro
2015	J	`jnl`	A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. CoRR Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro
2015	J	`jnl`	A Saddle Point Algorithm for Networked Online Convex Optimization. IEEE Trans. Signal Process. Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro
2015	—	`conf`	A decentralized prediction-correction method for networked time-varying convex optimization. CAMSAP Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro
2015	—	`conf`	Aggregation sampling of graph signals in the presence of noise. CAMSAP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	Misc	`conf`	An approximate Newton method for distributed optimization. ICASSP Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
2015	J	`jnl`	Authorship Attribution Through Function Word Adjacency Networks. IEEE Trans. Signal Process. Santiago Segarra, Mark Eisen, Alejandro Ribeiro
2015	—	`conf`	Blind identification of graph filters with sparse inputs. CAMSAP Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2015	—	`conf`	Control with random access wireless sensors. CDC Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
2015	A	`conf`	D4L: Decentralized dynamic discriminative dictionary learning. IROS Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2015	J	`jnl`	DLM: Decentralized Linearized Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. Qing Ling, Wei Shi, Gang Wu, Alejandro Ribeiro
2015	Misc	`conf`	Decentralized double stochastic averaging gradient. ACSSC Aryan Mokhtari, Alejandro Ribeiro
2015	—	`conf`	Decentralized quadratically approximated alternating direction method of multipliers. GlobalSIP Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2015	J	`jnl`	Demand Response Management in Smart Grids With Heterogeneous Consumer Preferences. IEEE Trans. Smart Grid Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro
2015	J	`jnl`	Demand Response with Cooperating Rational Consumers. CoRR Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro
2015	J	`jnl`	Diffusion and Superposition Distances for Signals Supported on Networks. IEEE Trans. Signal Inf. Process. over Networks Santiago Segarra, Weiyu Huang, Alejandro Ribeiro
2015	Misc	`conf`	Diffusion distance for signals supported on networks. ACSSC Weiyu Huang, Santiago Segarra, Alejandro Ribeiro
2015	J	`jnl`	Distributed Linear Network Operators using Graph Filters. CoRR Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2015	—	`conf`	Distributed fictitious play in potential games of incomplete information. CDC Ceyhun Eksin, Alejandro Ribeiro
2015	—	`conf`	Distributed implementation of linear network operators using graph filters. Allerton Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro
2015	J	`jnl`	Global convergence of online limited memory BFGS. J. Mach. Learn. Res. Aryan Mokhtari, Alejandro Ribeiro
2015	J	`jnl`	Graph Frequency Analysis of Brain Signals. CoRR Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett, Alejandro Ribeiro
2015	—	`conf`	Interpolation of graph signals using shift-invariant graph filters. EUSIPCO Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	J	`jnl`	Metrics in the Space of High Order Networks. CoRR Weiyu Huang, Alejandro Ribeiro
2015	Misc	`conf`	Metrics in the space of high order proximity networks. ICASSP Weiyu Huang, Alejandro Ribeiro
2015	C	`conf`	Online learning of feasible strategies in unknown environments. ACC Santiago Paternain, Alejandro Ribeiro
2015	—	`conf`	Online learning of optimal strategies in unknown environments. CDC Santiago Paternain, Alejandro Ribeiro
2015	J	`jnl`	Opportunistic Control Over Shared Wireless Channels. IEEE Trans. Autom. Control. Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas
2015	J	`jnl`	Persistent Homology Lower Bounds on High Order Network Distances. CoRR Weiyu Huang, Alejandro Ribeiro
2015	—	`conf`	Persistent homology approximations of network distances. GlobalSIP Weiyu Huang, Alejandro Ribeiro
2015	Misc	`conf`	Prediction-correction methods for time-varying convex optimization. ACSSC Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2015	Misc	`conf`	Rational consumer behavior models in smart pricing. ICASSP Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro
2015	C	`conf`	Real-Time Pricing with uncertain and heterogeneous consumer preferences. ACC Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro
2015	J	`jnl`	Reconstruction of Graph Signals through Percolation from Seeding Nodes. CoRR Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	—	`conf`	Reconstruction of graph signals: Percolation from a single seeding node. GlobalSIP Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	Misc	`conf`	Regret bounds of a distributed saddle point algorithm. ICASSP Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro
2015	J	`jnl`	Sampling of graph signals with successive local aggregations. CoRR Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
2015	Misc	`conf`	Sampling of graph signals: Successive local aggregations at a single node. ACSSC Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro
2015	Misc	`conf`	Stability and continuity of centrality measures in weighted graphs. ICASSP Santiago Segarra, Alejandro Ribeiro
2015	—	`conf`	Target tracking with dynamic convex optimization. GlobalSIP Alec Koppel, Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2014	J	`jnl`	A Quasi-Newton Method for Large Scale Support Vector Machines. CoRR Aryan Mokhtari, Alejandro Ribeiro
2014	Misc	`conf`	A quasi-Newton method for large scale support vector machines. ICASSP Aryan Mokhtari, Alejandro Ribeiro
2014	Misc	`conf`	A saddle point algorithm for networked online convex optimization. ICASSP Alec Koppel, Felicia Y. Jakubiec, Alejandro Ribeiro
2014	Misc	`conf`	A stable betweenness centrality measure in networks. ICASSP Santiago Segarra, Alejandro Ribeiro
2014	J	`jnl`	Accelerated Dual Descent for Network Flow Optimization. IEEE Trans. Autom. Control. Michael Zargham, Alejandro Ribeiro, Asuman E. Ozdaglar, Ali Jadbabaie
2014	J	`jnl`	Authorship Attribution through Function Word Adjacency Networks. CoRR Santiago Segarra, Mark Eisen, Alejandro Ribeiro
2014	J	`jnl`	Bayesian Quadratic Network Game Filters. IEEE Trans. Signal Process. Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2014	J	`jnl`	Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. Qing Ling, Alejandro Ribeiro
2014	Misc	`conf`	Decentralized linearized alternating direction method of multipliers. ICASSP Qing Ling, Alejandro Ribeiro
2014	J	`jnl`	Diffusion and Superposition Distances for Signals Supported on Networks. CoRR Santiago Segarra, Weiyu Huang, Alejandro Ribeiro
2014	B	`conf`	Discounted integral priority routing for data networks. GLOBECOM Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie
2014	Misc	`conf`	Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources. ICASSP Ceyhun Eksin, Hakan Deliç, Alejandro Ribeiro
2014	—	`conf`	Dithering and betweenness centrality in weighted graphs. GlobalSIP Santiago Segarra, Alejandro Ribeiro
2014	J	`jnl`	Global Convergence of Online Limited Memory BFGS. CoRR Aryan Mokhtari, Alejandro Ribeiro
2014	A*	`conf`	Hierarchical Quasi-Clustering Methods for Asymmetric Networks. ICML Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2014	J	`jnl`	Hierarchical Quasi-Clustering Methods for Asymmetric Networks. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2014	Misc	`conf`	Information aggregation in a beauty contest game. ICASSP Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2014	Misc	`conf`	Network Newton. ACSSC Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
2014	—	`conf`	Opportunistic scheduling of control tasks over shared wireless channels. ICCPS Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas
2014	—	`conf`	Opportunistic sensor scheduling in wireless control systems. CDC Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas
2014	J	`jnl`	Optimal Power Management in Wireless Control Systems. IEEE Trans. Autom. Control. Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
2014	J	`jnl`	RES: Regularized Stochastic BFGS Algorithm. CoRR Aryan Mokhtari, Alejandro Ribeiro
2014	J	`jnl`	RES: Regularized Stochastic BFGS Algorithm. IEEE Trans. Signal Process. Aryan Mokhtari, Alejandro Ribeiro
2014	A	`conf`	Robust routing and Multi-Confirmation Transmission Protocol for connectivity management of mobile robotic teams. IROS James Stephan, Jonathan Fink, Benjamin Charrow, Alejandro Ribeiro, Vijay Kumar
2014	J	`jnl`	Stability and Continuity of Centrality Measures in Weighted Graphs. CoRR Santiago Segarra, Alejandro Ribeiro
2013	—	`conf`	A dual stochastic DFP algorithm for optimal resource allocation in wireless systems. SPAWC Aryan Mokhtari, Alejandro Ribeiro
2013	—	`conf`	A linearized bregman algorithm for decentralized basis pursuit. EUSIPCO Kun Yuan, Qing Ling, Wotao Yin, Alejandro Ribeiro
2013	B	`conf`	Accelerated backpressure algorithm. GLOBECOM Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie
2013	—	`conf`	Accelerated dual descent for constrained convex network flow optimization. CDC Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie
2013	—	`conf`	Alternative axiomatic constructions for hierarchical clustering of asymmetric networks. GlobalSIP Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2013	Misc	`conf`	Authorship attribution using function words adjacency networks. ICASSP Santiago Segarra, Mark Eisen, Alejandro Ribeiro
2013	J	`jnl`	Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2013	Misc	`conf`	Axiomatic construction of hierarchical clustering in asymmetric networks. ICASSP Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2013	J	`jnl`	Bayesian Quadratic Network Game Filters CoRR Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2013	Misc	`conf`	Bayesian Quadratic Network Game filters. ICASSP Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2013	—	`conf`	Cognitive access algorithms for multiple access channels. SPAWC Yichuan Hu, Alejandro Ribeiro
2013	—	`conf`	Convergence of Bayesian histogram filters for location estimation. CDC Avik De, Alejandro Ribeiro, William Moran, Daniel E. Koditschek
2013	J	`jnl`	D-MAP: Distributed Maximum a Posteriori Probability Estimation of Dynamic Systems. IEEE Trans. Signal Process. Felicia Y. Jakubiec, Alejandro Ribeiro
2013	—	`conf`	Decentralized dynamic optimization through the alternating direction method of multipliers. SPAWC Qing Ling, Alejandro Ribeiro
2013	—	`conf`	Distributed filters for Bayesian network games. EUSIPCO Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2013	—	`conf`	Hierarchical clustering and consensus in trust networks. CAMSAP Santiago Segarra, Alejandro Ribeiro
2013	Misc	`conf`	Hierarchical clustering methods and algorithms for asymmetric networks. ACSSC Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2013	J	`jnl`	Learning in Network Games with Incomplete Information: Asymptotic Analysis and Tractable Implementation of Rational Behavior. IEEE Signal Process. Mag. Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2013	—	`conf`	Learning to coordinate in a beauty contest game. CDC Pooya Molavi, Ceyhun Eksin, Alejandro Ribeiro, Ali Jadbabaie
2013	J	`jnl`	Network Integrity in Mobile Robotic Networks. IEEE Trans. Autom. Control. Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas
2013	J	`jnl`	Optimal Wireless Communications With Imperfect Channel State Information. IEEE Trans. Signal Process. Yichuan Hu, Alejandro Ribeiro
2013	C	`conf`	Optimal power management in wireless control systems. ACC Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
2013	—	`conf`	Power-aware communication for wireless sensor-actuator systems. CDC Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George J. Pappas
2013	—	`conf`	Regularized stochastic BFGS algorithm. GlobalSIP Aryan Mokhtari, Alejandro Ribeiro
2013	J	`jnl`	Robust Control of Mobility and Communications in Autonomous Robot Teams. IEEE Access Jonathan Fink, Alejandro Ribeiro, Vijay Kumar
2012	C	`conf`	A distributed line search for network optimization. ACC Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie
2012	B	`conf`	A distributed routing protocol for predictable rates in wireless mesh networksy. ICNP Behnaz Arzani, Roch Guérin, Alejandro Ribeiro
2012	J	`jnl`	Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems. IEEE J. Sel. Areas Commun. Jerome Le Ny, Alejandro Ribeiro, George J. Pappas
2012	C	`conf`	Adaptive communication-constrained deployment of mobile robotic networks. ACC Jerome Le Ny, Alejandro Ribeiro, George J. Pappas
2012	J	`jnl`	Distributed Network Optimization With Heuristic Rational Agents. IEEE Trans. Signal Process. Ceyhun Eksin, Alejandro Ribeiro
2012	—	`conf`	Distributed maximum a posteriori probability estimation for tracking of dynamic systems. ACSCC Felicia Y. Jakubiec, Alejandro Ribeiro
2012	Misc	`conf`	Distributed maximum a posteriori probability estimation of dynamic systems with wireless sensor networks. ICASSP Felicia Y. Jakubiec, Alejandro Ribeiro
2012	—	`conf`	Dynamic games with side information in economic networks. ACSCC Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2012	Misc	`conf`	Heuristic rational models in social networks. ICASSP Ceyhun Eksin, Alejandro Ribeiro
2012	—	`conf`	Learning in linear games over networks. Allerton Conference Ceyhun Eksin, Pooya Molavi, Alejandro Ribeiro, Ali Jadbabaie
2012	A*	`conf`	Motion planning for robust wireless networking. ICRA Jonathan Fink, Alejandro Ribeiro, Vijay Kumar
2012	—	`conf`	Network optimization under uncertainty. CDC Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie
2012	J	`jnl`	Optimal Wireless Networks Based on Local Channel State Information. IEEE Trans. Signal Process. Yichuan Hu, Alejandro Ribeiro
2012	J	`jnl`	Optimal resource allocation in wireless communication and networking. EURASIP J. Wirel. Commun. Netw. Alejandro Ribeiro
2012	Misc	`conf`	Optimal wireless multiuser channels with imperfect channel state information. ICASSP Yichuan Hu, Alejandro Ribeiro
2012	J	`jnl`	Robust Control for Mobility and Wireless Communication in Cyber-Physical Systems With Application to Robot Teams. Proc. IEEE Jonathan Fink, Alejandro Ribeiro, Vijay Kumar
2011	—	`conf`	A framework for integrating mobility and routing in mobile communication networks. ACSCC Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas
2011	J	`jnl`	Accelerated Dual Descent for Network Optimization CoRR Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie, Asuman E. Ozdaglar
2011	C	`conf`	Accelerated dual descent for network optimization. ACC Michael Zargham, Alejandro Ribeiro, Asuman E. Ozdaglar, Ali Jadbabaie
2011	J	`jnl`	Adaptive Distributed Algorithms for Optimal Random Access Channels. IEEE Trans. Wirel. Commun. Yichuan Hu, Alejandro Ribeiro
2011	—	`conf`	Network optimization with heuristic rational agents. ACSCC Ceyhun Eksin, Alejandro Ribeiro
2011	B	`conf`	Optimal Transmission over a Fading Channel with Imperfect Channel State Information. GLOBECOM Yichuan Hu, Alejandro Ribeiro
2011	—	`conf`	Optimal random access for wireless networks in the presence of fading. Allerton Yichuan Hu, Alejandro Ribeiro
2011	Misc	`conf`	Optimal wireless networks based on local channel state information. ICASSP Yichuan Hu, Alejandro Ribeiro
2011	—	`conf`	Robot deployment with end-to-end communication constraints. CDC/ECC Jerome Le Ny, Alejandro Ribeiro, George J. Pappas
2010	J	`jnl`	A class of convergent algorithms for resource allocation in wireless fading networks. IEEE Trans. Wirel. Commun. Nikolaos Gatsis, Alejandro Ribeiro, Georgios B. Giannakis
2010	—	`conf`	Adaptive distributed algorithms for optimal random access channels. Allerton Yichuan Hu, Alejandro Ribeiro
2010	J	`jnl`	Ergodic Stochastic Optimization Algorithms for Wireless Communication and Networking. IEEE Trans. Signal Process. Alejandro Ribeiro
2010	Misc	`conf`	Ergodic stochastic optimization algorithms for wireless communication and networking. ICASSP Alejandro Ribeiro
2010	—	`conf`	Mobility & routing control in networks of robots. CDC Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas
2010	J	`jnl`	Separation principles in wireless networking. IEEE Trans. Inf. Theory Alejandro Ribeiro, Georgios B. Giannakis
2009	J	`jnl`	Cooperative Communications in Wireless Networks. EURASIP J. Wirel. Commun. Netw. Laura Cottatellucci, Xavier Mestre, Erik G. Larsson, Alejandro Ribeiro
2009	Misc	`conf`	Cross-layer optimization of wireless fading ad-hoc networks. ICASSP Nikolaos Gatsis, Alejandro Ribeiro, Georgios B. Giannakis
2009	Misc	`conf`	Layers and layer interfaces in wireless networks. ICASSP Alejandro Ribeiro
2008	J	`jnl`	Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals. IEEE Trans. Signal Process. Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis
2008	J	`jnl`	Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals. IEEE Trans. Signal Process. Ioannis D. Schizas, Georgios B. Giannakis, Stergios I. Roumeliotis, Alejandro Ribeiro
2008	J	`jnl`	Decentralized Quantized Kalman Filtering With Scalable Communication Cost. IEEE Trans. Signal Process. Eric J. Msechu, Stergios I. Roumeliotis, Alejandro Ribeiro, Georgios B. Giannakis
2008	Misc	`conf`	Distributed Kalman filtering based on quantized innovations. ICASSP Eric J. Msechu, Alejandro Ribeiro, Stergios I. Roumeliotis, Georgios B. Giannakis
2008	Misc	`conf`	Layer separability of wireless networks. CISS Alejandro Ribeiro, Georgios B. Giannakis
2008	J	`jnl`	Link-Adaptive Distributed Coding for Multisource Cooperation. EURASIP J. Adv. Signal Process. Alfonso Cano, Tairan Wang, Alejandro Ribeiro, Georgios B. Giannakis
2008	J	`jnl`	Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks. IEEE Trans. Wirel. Commun. Alejandro Ribeiro, Nikolas D. Sidiropoulos, Georgios B. Giannakis
2008	Misc	`conf`	Optimal FDMA over wireless fading mobile ad-hoc networks. ICASSP Alejandro Ribeiro, Georgios B. Giannakis
2008	—	`conf`	Optimal layered architectures of wireless networks. ACSCC Alejandro Ribeiro, Georgios B. Giannakis
2008	—	`conf`	Session WA6b: Wireless network utility maximization: Fundamental limits and protocols. ACSCC Alejandro Ribeiro
2007	J	`jnl`	Achieving Wireline Random Access Throughput in Wireless Networking Via User Cooperation. IEEE Trans. Inf. Theory Alejandro Ribeiro, Nikos D. Sidiropoulos, Georgios B. Giannakis, Yingqun Yu
2007	—	`conf`	Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links. ICASSP (2) Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis
2007	—	`conf`	Distributed Routing Algorithms for Wireless Multihop Networks. ICASSP (3) Alejandro Ribeiro, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2007	A*	`conf`	Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks. INFOCOM Alejandro Ribeiro, Georgios B. Giannakis, Zhi-Quan Luo, Nikos D. Sidiropoulos
2007	J	`jnl`	Multi-source cooperation with full-diversity spectral-efficiency and controllable-complexity. IEEE J. Sel. Areas Commun. Alejandro Ribeiro, Renqiu Wang, Georgios B. Giannakis
2007	Misc	`conf`	Robust Routing in Wireless Multi-Hop Networks. CISS Yuchen Wu, Alejandro Ribeiro, Georgios B. Giannakis
2006	J	`jnl`	Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case. IEEE Trans. Signal Process. Alejandro Ribeiro, Georgios B. Giannakis
2006	J	`jnl`	Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function. IEEE Trans. Signal Process. Alejandro Ribeiro, Georgios B. Giannakis
2006	J	`jnl`	Distributed compression-estimation using wireless sensor networks. IEEE Signal Process. Mag. Jin-Jun Xiao, Alejandro Ribeiro, Zhi-Quan Luo, Georgios B. Giannakis
2006	—	`conf`	Distributed estimation with ad hoc wireless sensor networks. EUSIPCO Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis
2006	B	`conf`	Link-Adaptive Distributed Coding for Multi-Source Cooperation. GLOBECOM Alfonso Cano, Tairan Wang, Alejandro Ribeiro, Georgios B. Giannakis
2006	J	`jnl`	Opportunistic multipath for bandwidth-efficient cooperative multiple access. IEEE Trans. Wirel. Commun. Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis
2006	—	`conf`	SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using The Sign Of Innovations. ICASSP (4) Alejandro Ribeiro, Georgios B. Giannakis, Stergios I. Roumeliotis
2006	J	`jnl`	SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations. IEEE Trans. Signal Process. Alejandro Ribeiro, Georgios B. Giannakis, Stergios I. Roumeliotis
2005	—	`conf`	Cooperative random access with long PN spreading codes. ICASSP (3) Yingqun Yu, Alejandro Ribeiro, Nikolaos D. Sidiropoulos, Georgios B. Giannakis
2005	—	`conf`	Distributed quantization-estimation using wireless sensor networks. ICC Alejandro Ribeiro, Georgios B. Giannakis
2005	—	`conf`	Increasing the throughput of spread-Aloha protocols via long PN spreading codes. ICC Alejandro Ribeiro, Yingqun Yu, Georgios B. Giannakis, Nikos D. Sidiropoulos
2005	—	`conf`	Non-parametric distributed quantization-estimation using wireless sensor networks. ICASSP (4) Alejandro Ribeiro, Georgios B. Giannakis
2005	J	`jnl`	Symbol error probabilities for general Cooperative links. IEEE Trans. Wirel. Commun. Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis
2004	—	`conf`	Opportunistic multipath for bandwidth-efficient cooperative networking. ICASSP (4) Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis
2004	—	`conf`	Symbol error probabilities for general cooperative links. ICC Alejandro Ribeiro, Xiaodong Cai, Georgios B. Giannakis