Santiago Segarra

311 papers A* 7A 3B 2Misc 74Journal 184Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. IEEE Trans. Wirel. Commun. Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra
2026	J	`jnl`	Fair Feature Importance Scores via Feature Occlusion and Permutation. CoRR Camille Olivia Little, Madeline Navarro, Santiago Segarra, Genevera I. Allen
2026	—	`conf`	OrbitalBrain: A Distributed Framework for Training ML Models in Space. NINeS Om Chabra, Chenning Li, Kevin Hsieh, Santiago Segarra, Behnaz Arzani, Peder A. Olsen, Ranveer Chandra
2026	J	`jnl`	Prior-Informed Flow Matching for Graph Reconstruction. CoRR Harvey Chen, Nicolas Zilberstein, Santiago Segarra
2025	J	`jnl`	2025 IEEE Signal Processing Society Awards [Society News]. IEEE Signal Process. Mag. Michaël Unser, Dong Yu, Barry D. Van Veen, K. V. S. Hari, John G. Apostolopoulos, Daniel P. W. Ellis, Santiago Segarra, Katherine L. Bouman, Hongkang Li, Nicholas Chimitt, Burak Varici
2025	—	`conf`	A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking. IEEECONF Zhongyuan Zhao, Yujun Ming, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2025	J	`jnl`	A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking. CoRR Zhongyuan Zhao, Yujun Ming, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2025	J	`jnl`	A Few Moments Please: Scalable Graphon Learning via Moment Matching. CoRR Reza Ramezanpour, Victor M. Tenorio, Antonio G. Marques, Ashutosh Sabharwal, Santiago Segarra
2025	J	`jnl`	A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator. CoRR Roozbeh Bostandoost, Pooria Namyar, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Eli Cortez, Ankur Mallick, Kevin Hsieh, Rodrigo Fonseca, Mohammad Hajiesmaili, Behnaz Arzani
2025	J	`jnl`	Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	Adaptive Graph Coarsening for Efficient GNN Training. CoRR Rostyslav Olshevskyi, Madeline Navarro, Santiago Segarra
2025	J	`jnl`	Adaptive Node Feature Selection For Graph Neural Networks. CoRR Ali Azizpour, Madeline Navarro, Santiago Segarra
2025	Misc	`conf`	Bayesian Filtering on Graphs. ICASSP Bishwadeep Das, Madeline Navarro, Santiago Segarra, Elvin Isufi
2025	—	`conf`	Characterizing Seizure Dynamics Using Spectral Graph Inference for Seizure Onset Zone Localization. IEEECONF Aila Teimouri, Ali Azizpour, Santiago Segarra, Nitin Tandon, Behnaam Aazhang
2025	J	`jnl`	Deep Unfolding: Recent Developments, Theory, and Design Guidelines. CoRR Nir Shlezinger, Santiago Segarra, Yi Zhang, Dvir Avrahami, Zohar Davidov, Tirza Routtenberg, Yonina C. Eldar
2025	J	`jnl`	Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks (Journal Version). CoRR Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra
2025	J	`jnl`	Estimating Fair Graphs from Graph-Stationary Data. CoRR Madeline Navarro, Andrei Buciulea, Samuel Rey, Antonio G. Marques, Santiago Segarra
2025	Misc	`conf`	Fair CoVariance Neural Networks. ICASSP Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi
2025	J	`jnl`	From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning. CoRR Ali Azizpour, Reza Ramezanpour, Ashutosh Sabharwal, Santiago Segarra
2025	J	`jnl`	Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces. CoRR Zhongyuan Zhao, Yujun Ming, Ananthram Swami, Kevin S. Chan, Fikadu Dagefu, Santiago Segarra
2025	J	`jnl`	Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation. CoRR Victor M. Tenorio, Nicolas Zilberstein, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	Gromov-Wasserstein Graph Coarsening. CoRR Carlos A. Taveras, Santiago Segarra, César A. Uribe
2025	J	`jnl`	Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces. CoRR Antonio Pariente, Ignacio Hounie, Santiago Segarra, Alejandro Ribeiro
2025	Misc	`conf`	Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm. ICASSP Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2025	J	`jnl`	Learning Time-Varying Turn-Taking Behavior in Group Conversations. CoRR Madeline Navarro, Lisa O'Bryan, Santiago Segarra
2025	J	`jnl`	Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks. Signal Process. Benjamin Cox, Santiago Segarra, Víctor Elvira
2025	J	`jnl`	Link-Sharing Backpressure Routing In Wireless Multi-Hop Networks. CoRR Zhongyuan Zhao, Yujun Ming, Ananthram Swami, Kevin S. Chan, Fikadu Dagefu, Santiago Segarra
2025	Misc	`conf`	Low-Rank Tensors for Multi-Dimensional Markov Models. ICASSP Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra
2025	J	`jnl`	Model-Driven Graph Contrastive Learning. CoRR Ali Azizpour, Nicolas Zilberstein, Santiago Segarra
2025	Misc	`conf`	Online Network Inference from Graph-Stationary Signals with Hidden Nodes. ICASSP Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025	B	`conf`	Poster: Sparsity-enhanced Lagrangian Relaxation (SeLR) for Computation Offloading at the Edge. MobiHoc Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2025	Misc	`conf`	Redesigning graph filter-based GNNs to relax the homophily assumption. ICASSP Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2025	A*	`conf`	Repulsive Latent Score Distillation for Solving Inverse Problems. ICLR Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
2025	—	`conf`	Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials. IEEECONF Nicolas Zilberstein, Santiago Segarra, Luiz Chamon
2025	J	`jnl`	Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials. CoRR Nicolas Zilberstein, Santiago Segarra, Luiz Chamon
2025	A	`conf`	Scalable Implicit Graphon Learning. AISTATS Ali Azizpour, Nicolas Zilberstein, Santiago Segarra
2025	J	`jnl`	SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge. CoRR Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2025	Misc	`conf`	Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation. NSDI Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
2024	J	`jnl`	A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra
2024	A	`conf`	An Impossibility Theorem for Node Embedding. AISTATS T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
2024	—	`conf`	Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns. MILCOM Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra
2024	J	`jnl`	Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns. CoRR Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra
2024	Misc	`conf`	Bayesian Topology Inference on Partially Known Networks from Input-Output Pairs. ICASSP Martin Sevilla, Santiago Segarra
2024	J	`jnl`	Biased Backpressure Routing Using Link Features and Graph Neural Networks. CoRR Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra
2024	Misc	`conf`	Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks. ICASSP Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra
2024	Misc	`conf`	Data Augmentation via Subgroup Mixup for Improving Fairness. ICASSP Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra
2024	J	`jnl`	Data science for graphs. J. Appl. Comput. Topol. Gunnar E. Carlsson, Santiago Segarra
2024	J	`jnl`	Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. IEEE Trans. Wirel. Commun. Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra
2024	—	`conf`	Efficient Path Planning with Soft Homology Constraints. CCTA Carlos A. Taveras, Santiago Segarra, César A. Uribe
2024	J	`jnl`	Efficient Path Planning with Soft Homology Constraints. CoRR Carlos A. Taveras, Santiago Segarra, César A. Uribe
2024	Misc	`conf`	End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. ICASSP Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira
2024	Misc	`conf`	End-to-End Performance Analysis of Learning-enabled Systems. HotNets Pooria Namyar, Michael Schapira, Ramesh Govindan, Santiago Segarra, Ryan Beckett, Siva Kesava Reddy Kakarla, Behnaz Arzani
2024	A	`conf`	Estimation of partially known Gaussian graphical models with score-based structural priors. AISTATS Martin Sevilla, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Estimation of partially known Gaussian graphical models with score-based structural priors. CoRR Martin Sevilla, Antonio Garcia Marques, Santiago Segarra
2024	J	`jnl`	Fair CoVariance Neural Networks. CoRR Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi
2024	A*	`conf`	Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. NeurIPS Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	Misc	`conf`	Finding Adversarial Inputs for Heuristics using Multi-level Optimization. NSDI Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula
2024	J	`jnl`	Fully Distributed Online Training of Graph Neural Networks in Networked Systems. CoRR Rostyslav Olshevskyi, Zhongyuan Zhao, Kevin S. Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra
2024	J	`jnl`	GIST: distributed training for large-scale graph convolutional networks. J. Appl. Comput. Topol. Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2024	J	`jnl`	GLANCE: Graph-based Learnable Digital Twin for Communication Networks. CoRR Boning Li, Gunjan Verma, Timofey Efimov, Abhishek Kumar, Santiago Segarra
2024	J	`jnl`	GraSSRep: Graph-Based Self-Supervised Learning for Repeat Detection in Metagenomic Assembly. CoRR Ali Azizpour, Advait Balaji, Todd J. Treangen, Santiago Segarra
2024	B	`conf`	GraSSRep: Graph-Based Self-supervised Learning for Repeat Detection in Metagenomic Assembly. RECOMB Ali Azizpour, Advait Balaji, Todd J. Treangen, Santiago Segarra
2024	J	`jnl`	Graph Filters for Signal Processing and Machine Learning on Graphs. IEEE Trans. Signal Process. Elvin Isufi, Fernando Gama, David I Shuman, Santiago Segarra
2024	Misc	`conf`	Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models. ICASSP Nicolas Zilberstein, Ananthram Swami, Santiago Segarra
2024	J	`jnl`	Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm. CoRR Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2024	J	`jnl`	Learning Non-myopic Power Allocation in Constrained Scenarios. CoRR Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra
2024	J	`jnl`	Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks. CoRR Benjamin Cox, Santiago Segarra, Victor Elvira
2024	J	`jnl`	Learning to Transmit With Provable Guarantees in Wireless Federated Learning. IEEE Trans. Wirel. Commun. Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra
2024	J	`jnl`	Low-Rank Tensors for Multi-Dimensional Markov Models. CoRR Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns. CoRR Lisa O'Bryan, Madeline Navarro, Juan Segundo Hevia, Santiago Segarra
2024	—	`conf`	Mitigating Subpopulation Bias for Fair Network Topology Inference. EUSIPCO Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024	—	`conf`	Multiuser Fair Resource Allocation for Block-stationary Wireless Channels. IEEECONF Reza Ramezanpour, Santiago Segarra, Ashutosh Sabharwal
2024	Misc	`conf`	NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. NSDI Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
2024	J	`jnl`	Objective Communication Patterns Associated With Team Member Effectiveness in Real-World Virtual Teams. Hum. Factors Lisa O'Bryan, Tim Oxendahl, Xu Chen, Daniel McDuff, Santiago Segarra, Matthew A. Wettergreen, Margaret E. Beier, Ashutosh Sabharwal
2024	J	`jnl`	Online Network Inference from Graph-Stationary Signals with Hidden Nodes. CoRR Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	Misc	`conf`	Recovering Missing Node Features with Local Structure-Based Embeddings. ICASSP Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Redesigning graph filter-based GNNs to relax the homophily assumption. CoRR Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Reference-free structural variant detection in microbiomes via long-read co-assembly graphs. Bioinform. Kristen D. Curry, Feiqiao Brian Yu, Summer E. Vance, Santiago Segarra, Devaki Bhaya, Rayan Chikhi, Eduardo P. C. Rocha, Todd J. Treangen
2024	J	`jnl`	Repulsive Score Distillation for Diverse Sampling of Diffusion Models. CoRR Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
2024	Misc	`conf`	SC-MAD: Mixtures of Higher-Order Networks for Data Augmentation. ICASSP Madeline Navarro, Santiago Segarra
2024	J	`jnl`	Scalable Implicit Graphon Learning. CoRR Ali Azizpour, Nicolas Zilberstein, Santiago Segarra
2024	J	`jnl`	Solving Linear Inverse Problems Using Higher-Order Annealed Langevin Diffusion. IEEE Trans. Signal Process. Nicolas Zilberstein, Ashutosh Sabharwal, Santiago Segarra
2024	Misc	`conf`	Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. NSDI Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj
2024	—	`conf`	Structure-Guided Input Graph for GNNs Facing Heterophily. IEEECONF Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Structure-Guided Input Graph for GNNs facing Heterophily. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	Misc	`conf`	Towards Safer Heuristics With XPlain. HotNets Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Beibin Li, Pooria Namyar, Behnaz Arzani
2024	J	`jnl`	Towards Safer Heuristics With XPlain. CoRR Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Beibin Li, Pooria Namyar, Behnaz Arzani
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 Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks. CoRR Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady
2023	Misc	`conf`	Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics. ICASSP Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2023	J	`jnl`	Annealed Langevin Dynamics for Massive MIMO Detection. IEEE Trans. Wirel. Commun. Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2023	J	`jnl`	Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks. CoRR Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra
2023	J	`jnl`	Conversational Turn-taking as a Stochastic Process on Networks. CoRR Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas
2023	J	`jnl`	Data Augmentation via Subgroup Mixup for Improving Fairness. CoRR Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra
2023	J	`jnl`	Deep Demixing: Reconstructing the Evolution of Network Epidemics. CoRR Boning Li, Gojko Cutura, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. CoRR Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	Misc	`conf`	Delay-Aware Backpressure Routing Using Graph Neural Networks. ICASSP Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	—	`conf`	Enhanced Backpressure Routing Using Wireless Link Features. CAMSAP Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Enhanced Backpressure Routing Using Wireless Link Features. CoRR Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. IEEE Trans. Signal Process. Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques
2023	Misc	`conf`	Enhancing Network Management Using Code Generated by Large Language Models. HotNets Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
2023	J	`jnl`	Enhancing Network Management Using Code Generated by Large Language Models. CoRR Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula
2023	J	`jnl`	Finding Adversarial Inputs for Heuristics using Multi-level Optimization. CoRR Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula
2023	J	`jnl`	Free Energy Node Embedding via Generalized Skip-Gram With Negative Sampling. IEEE Trans. Knowl. Data Eng. Yu Zhu, Ananthram Swami, Santiago Segarra
2023	Misc	`conf`	Graph Representation Learning For Stroke Recurrence Prediction. ICASSP Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra
2023	J	`jnl`	Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks. IEEE Trans. Wirel. Commun. Boning Li, Gunjan Verma, Santiago Segarra
2023	A*	`conf`	Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems. ICLR Zhongyuan Zhao, Ananthram Swami, Santiago Segarra
2023	Misc	`conf`	Graphmad: Graph Mixup for Data Augmentation Using Data-Driven Convex Clustering. ICASSP Madeline Navarro, Santiago Segarra
2023	J	`jnl`	Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian. CoRR Yu Zhu, Boning Li, Santiago Segarra
2023	J	`jnl`	Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering. Frontiers Big Data Yu Zhu, Santiago Segarra
2023	J	`jnl`	Joint embedding of biological networks for cross-species functional alignment. Bioinform. Lechuan Li, Ruth Dannenfelser, Yu Zhu, Nathaniel Hejduk, Santiago Segarra, Vicky Yao
2023	—	`conf`	Learnable Digital Twin for Efficient Wireless Network Evaluation. MILCOM Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Learnable Digital Twin for Efficient Wireless Network Evaluation. CoRR Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	Misc	`conf`	Learning Non-myopic Power Allocation in Constrained Scenarios. ACSSC Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Learning to Transmit with Provable Guarantees in Wireless Federated Learning. CoRR Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Limits of Dense Simplicial Complexes. J. Mach. Learn. Res. T. Mitchell Roddenberry, Santiago Segarra
2023	J	`jnl`	Link Scheduling Using Graph Neural Networks. IEEE Trans. Wirel. Commun. Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2023	Misc	`conf`	ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO. ACSSC Qing An, Mehdi Zafari, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, Rahman Doost-Mohammady
2023	J	`jnl`	Recovering Missing Node Features with Local Structure-based Embeddings. CoRR Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2023	J	`jnl`	SC-MAD: Mixtures of Higher-order Networks for Data Augmentation. CoRR Madeline Navarro, Santiago Segarra
2023	Misc	`conf`	Securing Public Clouds using Dynamic Communication Graphs. HotNets Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
2023	Misc	`conf`	Signal Processing On Product Spaces. ICASSP T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra
2023	J	`jnl`	Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. CoRR Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj
2023	Misc	`conf`	State and Dynamics Estimation with the Kalman-Langevin filter. ACSSC Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra
2023	J	`jnl`	Unsupervised Learning of Sampling Distributions for Particle Filters. IEEE Trans. Signal Process. Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard G. Baraniuk, Santiago Segarra
2023	Misc	`conf`	Windowed Fourier Analysis for Signal Processing on Graph Bundles. ICASSP T. Mitchell Roddenberry, Santiago Segarra
2022	—	`conf`	Conversational Turn-taking as a Stochastic Process on Networks. IEEECONF Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas
2022	Misc	`conf`	Delay-Oriented Distributed Scheduling Using Graph Neural Networks. ICASSP Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra
2022	J	`jnl`	Delay-aware Backpressure Routing Using Graph Neural Networks. CoRR Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra
2022	—	`conf`	Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics. EUSIPCO Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2022	Misc	`conf`	Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. ICASSP Zhongyuan Zhao, Ananthram Swami, Santiago Segarra
2022	J	`jnl`	Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. CoRR Zhongyuan Zhao, Ananthram Swami, Santiago Segarra
2022	J	`jnl`	Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra
2022	A*	`conf`	Graph Reordering for Cache-Efficient Near Neighbor Search. NeurIPS Benjamin Coleman, Santiago Segarra, Alexander J. Smola, Anshumali Shrivastava
2022	J	`jnl`	Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks. CoRR Boning Li, Gunjan Verma, Santiago Segarra
2022	J	`jnl`	GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering. CoRR Madeline Navarro, Santiago Segarra
2022	Misc	`conf`	Graphon-Aided Joint Estimation of Multiple Graphs. ICASSP Madeline Navarro, Santiago Segarra
2022	J	`jnl`	Graphon-aided Joint Estimation of Multiple Graphs. CoRR Madeline Navarro, Santiago Segarra
2022	Misc	`conf`	Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. ICASSP T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra
2022	J	`jnl`	How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, Gabriel Egan
2022	—	`conf`	Hypergraph 1-Spectral Clustering with General Submodular Weights. IEEECONF Yu Zhu, Boning Li, Santiago Segarra
2022	J	`jnl`	Hypergraph Cuts with Edge-Dependent Vertex Weights. CoRR Yu Zhu, Santiago Segarra
2022	J	`jnl`	Hypergraph cuts with edge-dependent vertex weights. Appl. Netw. Sci. Yu Zhu, Santiago Segarra
2022	Misc	`conf`	Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. ICASSP Yu Zhu, Boning Li, Santiago Segarra
2022	J	`jnl`	Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering. CoRR Yu Zhu, Santiago Segarra
2022	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
2022	Misc	`conf`	Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2022	J	`jnl`	Joint Network Topology Inference Via a Shared Graphon Model. IEEE Trans. Signal Process. Madeline Navarro, Santiago Segarra
2022	J	`jnl`	Joint Network Topology Inference via a Shared Graphon Model. CoRR Madeline Navarro, Santiago Segarra
2022	—	`conf`	Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022	J	`jnl`	Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022	Misc	`conf`	Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. ICASSP Artun Bayer, Arindam Chowdhury, Santiago Segarra
2022	Misc	`conf`	Minding the gap between fast heuristics and their optimal counterparts. HotNets Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Srikanth Kandula
2022	J	`jnl`	Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers. CoRR Negar Erfanian, Santiago Segarra, Maarten V. de Hoop
2022	J	`jnl`	On Local Distributions in Graph Signal Processing. CoRR T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
2022	J	`jnl`	On Local Distributions in Graph Signal Processing. IEEE Trans. Signal Process. T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra
2022	Misc	`conf`	Power Allocation for Wireless Federated Learning Using Graph Neural Networks. ICASSP Boning Li, Ananthram Swami, Santiago Segarra
2022	—	`conf`	Robust MIMO Detection using Hypernetworks with Learned Regularizers. EUSIPCO Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2022	Misc	`conf`	Stability Analysis of Unfolded WMMSE for Power Allocation. ICASSP Arindam Chowdhury, Fernando Gama, Santiago Segarra
2022	Misc	`conf`	Unrolling Particles: Unsupervised Learning of Sampling Distributions. ICASSP Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
2022	J	`jnl`	Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
2021	—	`conf`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	J	`jnl`	A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
2021	Misc	`conf`	Adaptive Contention Window Design Using Deep Q-Learning. ICASSP Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	An Impossibility Theorem for Node Embedding. CoRR T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
2021	J	`jnl`	Blind Inference of Eigenvector Centrality Rankings. IEEE Trans. Signal Process. T. Mitchell Roddenberry, Santiago Segarra
2021	—	`conf`	Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. EUSIPCO Yu Zhu, Boning Li, Santiago Segarra
2021	J	`jnl`	Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. CoRR Yu Zhu, Boning Li, Santiago Segarra
2021	—	`conf`	Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks. EUSIPCO Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra
2021	Misc	`conf`	Distributed Scheduling Using Graph Neural Networks. ICASSP Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	Misc	`conf`	Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. ICASSP Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	—	`conf`	Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. ACSCC Boning Li, Gunjan Verma, Chirag Rao, Santiago Segarra
2021	J	`jnl`	Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling. CoRR Yu Zhu, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2021	J	`jnl`	Graph Reordering for Cache-Efficient Near Neighbor Search. CoRR Benjamin Coleman, Santiago Segarra, Anshumali Shrivastava, Alex Smola
2021	J	`jnl`	Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs. Signal Process. David Ramírez, Antonio G. Marques, Santiago Segarra
2021	J	`jnl`	Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes. CoRR T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra
2021	J	`jnl`	Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2021	J	`jnl`	Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels. CoRR Artun Bayer, Arindam Chowdhury, Santiago Segarra
2021	J	`jnl`	Link Scheduling using Graph Neural Networks. CoRR Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	—	`conf`	ML-aided power allocation for Tactical MIMO. MILCOM Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	ML-aided power allocation for Tactical MIMO. CoRR Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	Misc	`conf`	Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. ICASSP Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
2021	Misc	`conf`	Network Topology Inference with Graphon Spectral Penalties. ICASSP T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra
2021	—	`conf`	Node Embedding based on the Free Energy Distance. ACSCC Yu Zhu, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	Power Allocation for Wireless Federated Learning using Graph Neural Networks. CoRR Boning Li, Ananthram Swami, Santiago Segarra
2021	A*	`conf`	Principled Simplicial Neural Networks for Trajectory Prediction. ICML T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra
2021	J	`jnl`	Principled Simplicial Neural Networks for Trajectory Prediction. CoRR Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra
2021	J	`jnl`	Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. CoRR Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra
2021	J	`jnl`	Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. SIAM J. Appl. Algebra Geom. Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra
2021	J	`jnl`	Robust MIMO Detection using Hypernetworks with Learned Regularizers. CoRR Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
2021	J	`jnl`	Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond. CoRR Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
2021	J	`jnl`	Signal processing on higher-order networks: Livin' on the edge... and beyond. Signal Process. Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra
2021	J	`jnl`	Signal processing on simplicial complexes. CoRR Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
2021	J	`jnl`	Stability Analysis of Unfolded WMMSE for Power Allocation. CoRR Arindam Chowdhury, Fernando Gama, Santiago Segarra
2021	J	`jnl`	Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation. IEEE Trans. Wirel. Commun. Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2021	J	`jnl`	Unrolling Particles: Unsupervised Learning of Sampling Distributions. CoRR Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra
2021	J	`jnl`	Untrained Graph Neural Networks for Denoising. CoRR Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques
2020	J	`jnl`	Adaptive Contention Window Design using Deep Q-learning. CoRR Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2020	J	`jnl`	Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang
2020	J	`jnl`	Blind Community Detection From Low-Rank Excitations of a Graph Filter. IEEE Trans. Signal Process. Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
2020	Misc	`conf`	Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. ACSSC T. Mitchell Roddenberry, Santiago Segarra
2020	J	`jnl`	Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. CoRR T. Mitchell Roddenberry, Santiago Segarra
2020	J	`jnl`	Blind Identification of Stochastic Block Models from Dynamical Observations. SIAM J. Math. Data Sci. Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis
2020	Misc	`conf`	Blind Inference of Centrality Rankings from Graph Signals. ICASSP T. Mitchell Roddenberry, Santiago Segarra
2020	J	`jnl`	Blind Inference of Eigenvector Centrality Rankings. CoRR T. Mitchell Roddenberry, Santiago Segarra
2020	J	`jnl`	Centrality Measures for Graphons: Accounting for Uncertainty in Networks. IEEE Trans. Netw. Sci. Eng. Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra
2020	J	`jnl`	Distributed Scheduling using Graph Neural Networks. CoRR Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2020	J	`jnl`	Efficient power allocation using graph neural networks and deep algorithm unfolding. CoRR Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
2020	J	`jnl`	Estimating Network Processes via Blind Identification of Multiple Graph Filters. IEEE Trans. Signal Process. Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
2020	J	`jnl`	Exact Blind Community Detection From Signals on Multiple Graphs. IEEE Trans. Signal Process. T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
2020	J	`jnl`	Exact Blind Community Detection from Signals on Multiple Graphs. CoRR T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
2020	Misc	`conf`	Generative Adversarial Networks for Graph Data Imputation from Signed Observations. ICASSP Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques
2020	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
2020	Misc	`conf`	Metric Representations of Networks: A Uniqueness Result. ICASSP Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
2020	J	`jnl`	Network Inference From Consensus Dynamics With Unknown Parameters. IEEE Trans. Signal Inf. Process. over Networks Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra
2020	J	`jnl`	Network topology change-point detection from graph signals with prior spectral signatures. CoRR Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra
2020	J	`jnl`	Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets. CoRR T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis
2020	J	`jnl`	Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. IEEE Signal Process. Mag. Antonio G. Marques, Santiago Segarra, Gonzalo Mateos
2019	—	`conf`	An Underparametrized Deep Decoder Architecture for Graph Signals. CAMSAP Samuel Rey, Antonio G. Marques, Santiago Segarra
2019	J	`jnl`	An Underparametrized Deep Decoder Architecture for Graph Signals. CoRR Samuel Rey, Antonio G. Marqués, Santiago Segarra
2019	J	`jnl`	Blind Inference of Centrality Rankings from Graph Signals. CoRR T. Mitchell Roddenberry, Santiago Segarra
2019	J	`jnl`	Blind identification of stochastic block models from dynamical observations. CoRR Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis
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	Misc	`conf`	Estimation of Network Processes via Blind Graph Multi-filter Identification. ICASSP Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra
2019	A*	`conf`	Graph-based Semi-Supervised & Active Learning for Edge Flows. KDD Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson
2019	J	`jnl`	Graph-based Semi-Supervised & Active Learning for Edge Flows. CoRR Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson
2019	Misc	`conf`	HodgeNet: Graph Neural Networks for Edge Data. ACSSC T. Mitchell Roddenberry, Santiago Segarra
2019	J	`jnl`	HodgeNet: Graph Neural Networks for Edge Data. CoRR T. Mitchell Roddenberry, Santiago Segarra
2019	J	`jnl`	Metric Representations of Networks: A Uniqueness Result. CoRR Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro
2019	J	`jnl`	Network Inference from Consensus Dynamics with Unknown Parameters. CoRR Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra
2019	—	`conf`	Neural Network Architectures for Electricity Consumption Forecasting. iThings/GreenCom/CPSCom/SmartData Cristina Heghedus, Santiago Segarra, Antorweep Chakravorty, Chunming Rong
2019	Misc	`conf`	Spectral Partitioning of Time-varying Networks with Unobserved Edges. ICASSP Michael T. Schaub, Santiago Segarra, Hoi-To Wai
2019	J	`jnl`	Spectral partitioning of time-varying networks with unobserved edges. CoRR Michael T. Schaub, Santiago Segarra, Hoi-To Wai
2018	J	`jnl`	Blind Community Detection from Low-rank Excitations of a Graph Filter. CoRR Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
2018	Misc	`conf`	Community Detection from Low-Rank Excitations of a Graph Filter. ICASSP Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
2018	Misc	`conf`	Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. ICASSP Fernando Jose Iglesias Garcia, Santiago Segarra, Samuel Rey-Escudero, Antonio G. Marques, David Ramírez
2018	—	`conf`	Directed Network Topology Inference via Graph Filter Identification. DSW Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2018	—	`conf`	Enhancing Geometric Deep Learning via Graph Filter Deconvolution. GlobalSIP Jingkang Yang, Santiago Segarra
2018	—	`conf`	Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. GlobalSIP Michael T. Schaub, Santiago Segarra
2018	J	`jnl`	Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. CoRR Michael T. Schaub, Santiago Segarra
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	Misc	`conf`	Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2018	J	`jnl`	Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
2018	—	`conf`	Network Topology Inference From Input-Output Diffusion Pairs. SSP Santiago Segarra, Antonio G. Marques, Mohak Goyal, Samuel Rey-Escudero
2018	J	`jnl`	Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. Mark Eisen, Alejandro Ribeiro, Santiago Segarra, Gabriel Egan
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	J	`jnl`	Blind Identification of Graph Filters. IEEE Trans. Signal Process. Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro
2017	J	`jnl`	Centrality measures for graphons. CoRR Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra
2017	—	`conf`	Design of weighted median graph filters. CAMSAP Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro
2017	Misc	`conf`	Graph-signal reconstruction and blind deconvolution for diffused sparse inputs. ICASSP David Ramírez, Antonio G. Marques, Santiago Segarra
2017	Misc	`conf`	Joint inference of networks from stationary graph signals. ACSSC Santiago Segarra, Yuhao Wang, Caroline Uhler, Antonio G. Marques
2017	J	`jnl`	Network Inference from Consensus Dynamics. CoRR Santiago Segarra, Michael T. Schaub, Ali Jadbabaie
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	—	`conf`	Network inference from consensus dynamics. CDC Santiago Segarra, Michael T. Schaub, Ali Jadbabaie
2017	Misc	`conf`	Network topology inference from non-stationary graph signals. ICASSP Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos
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`	Robust network topology inference. ICASSP Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, 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`	The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. CoRR Geert Leus, Santiago Segarra, Alejandro Ribeiro, Antonio G. Marques
2016	J	`jnl`	Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
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	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`	Excisive Hierarchical Clustering Methods for Network Data. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
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	Misc	`conf`	Linear network operators using node-variant graph filters. ICASSP Santiago Segarra, Antonio G. Marques, 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	Misc	`conf`	Overlapping clustering of network data using cut metrics. ICASSP Fernando Gama, Santiago Segarra, 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`	Sampling of Graph Signals With Successive Local Aggregations. IEEE Trans. Signal Process. Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro
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	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`	Stylometric Analysis of Early Modern Period English Plays. CoRR Mark Eisen, Santiago Segarra, Gabriel Egan, 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	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	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 implementation of linear network operators using graph filters. Allerton Santiago Segarra, Antonio G. Marques, 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`	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	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
2014	Misc	`conf`	A stable betweenness centrality measure in networks. ICASSP Santiago Segarra, Alejandro Ribeiro
2014	J	`jnl`	Authorship Attribution through Function Word Adjacency Networks. CoRR Santiago Segarra, Mark Eisen, Alejandro Ribeiro
2014	J	`jnl`	Diffusion and Superposition Distances for Signals Supported on Networks. CoRR Santiago Segarra, Weiyu Huang, Alejandro Ribeiro
2014	—	`conf`	Dithering and betweenness centrality in weighted graphs. GlobalSIP Santiago Segarra, 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	J	`jnl`	Stability and Continuity of Centrality Measures in Weighted Graphs. CoRR Santiago Segarra, Alejandro Ribeiro
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	—	`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