Navid Naderializadeh

84 papers A* 4B 7Misc 7Journal 53Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. CoRR Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti
2025	J	`jnl`	Constrained Sliced Wasserstein Embedding. CoRR Navid Naderializadeh, Darian Salehi, Xinran Liu, Soheil Kolouri
2025	A*	`conf`	ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans. ICML Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh, Soheil Kolouri
2025	J	`jnl`	ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans. CoRR Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh, Soheil Kolouri
2025	J	`jnl`	Efficient Transferable Optimal Transport via Min-Sliced Transport Plans. CoRR Xinran Liu, Elaheh Akbari, Rocio Diaz Martin, Navid Naderializadeh, Soheil Kolouri
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	J	`jnl`	LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport. CoRR Ashkan Shahbazi, Chayne Thrash, Yikun Bai, Keaton Hamm, Navid Naderializadeh, Soheil Kolouri
2025	J	`jnl`	LUNA: Linear Universal Neural Attention with Generalization Guarantees. CoRR Ashkan Shahbazi, Ping He, Ali Abbasi, Yikun Bai, Xinran Liu, Elaheh Akbari, Darian Salehi, Navid Naderializadeh, Soheil Kolouri
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`	Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies. CoRR Sourajit Das, Navid Naderializadeh, Rahul Mangharam, Alejandro Ribeiro
2025	J	`jnl`	Reinforcement Learning-Based Optimization of CT Acquisition and Reconstruction Parameters Through Virtual Imaging Trials. CoRR David Fenwick, Navid Naderializadeh, Vahid Tarokh, Nicholas Felice, Darin Clark, Jayasai Rajagopal, Anuj J. Kapadia, Benjamin Wildman-Tobriner, Ehsan Samei, Ehsan Abadi
2025	Misc	`conf`	State-Augmented Opportunistic Routing in Wireless Communication Systems with Graph Neural Networks. ICASSP Sourajit Das, Navid Naderializadeh, 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`	Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. CoRR Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti
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`	Robust Stochastically-Descending Unrolled Networks. IEEE Trans. Signal Process. Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro
2024	Misc	`conf`	State-Augmented Information Routing In Communication Systems With Graph Neural Networks. ICASSP Sourajit Das, Navid Naderializadeh, 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`	Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. CoRR Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro
2023	J	`jnl`	Robust Stochastically-Descending Unrolled Networks. CoRR Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro
2023	J	`jnl`	Stochastic Unrolled Federated Learning. CoRR Samar Hadou, Navid Naderializadeh, 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	J	`jnl`	Federated Representation Learning via Maximal Coding Rate Reduction. CoRR Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro
2022	J	`jnl`	Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. IEEE Internet Things Mag. Rita H. Wouhaybi, Ravikumar Balakrishnan, Navid Naderializadeh, Ahmad Beirami, Marco Di Felice, Shadi A. Noghabi, Anirudh Badam, Shugong Xu
2022	J	`jnl`	Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR Navid Naderializadeh, 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
2021	Misc	`conf`	Contrastive Self-Supervised Learning for Wireless Power Control. ICASSP Navid Naderializadeh
2021	—	`conf`	Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning. GLOBECOM (Workshops) Chuan Sun, Navid Naderializadeh, Morteza Hashemi
2021	A*	`conf`	Pooling by Sliced-Wasserstein Embedding. NeurIPS Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri
2021	J	`jnl`	Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour
2021	J	`jnl`	Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann
2021	A*	`conf`	Wasserstein Embedding for Graph Learning. ICLR Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
2021	J	`jnl`	Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels. CoRR Navid Naderializadeh
2020	J	`jnl`	Contrastive Self-Supervised Learning for Wireless Power Control. CoRR Navid Naderializadeh
2020	J	`jnl`	Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning. CoRR Navid Naderializadeh, Fan H. Hung, Sean Soleyman, Deepak Khosla
2020	J	`jnl`	On the Communication Latency of Wireless Decentralized Learning. CoRR Navid Naderializadeh
2020	—	`conf`	Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. SPAWC Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour
2020	J	`jnl`	Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. CoRR Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour
2020	J	`jnl`	Wasserstein Embedding for Graph Learning. CoRR Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
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
2019	—	`conf`	A Power Efficient Fully Digital Beamforming Architecture for mmWave Communications. VTC Spring Oner Orhan, Hosein Nikopour, Junyoung Nam, Navid Naderializadeh, Shilpa Talwar
2019	J	`jnl`	Cache-Aided Interference Management in Wireless Cellular Networks. IEEE Trans. Commun. Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2019	J	`jnl`	Deep CNN based Channel Estimation for mmWave Massive MIMO Systems. CoRR Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simoes Gaspar
2019	Misc	`conf`	Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation. ICASSP Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simões Gaspar
2019	J	`jnl`	Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems. IEEE J. Sel. Top. Signal Process. Peihao Dong, Hua Zhang, Geoffrey Ye Li, Ivan Simões Gaspar, Navid Naderializadeh
2019	Misc	`conf`	Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. ACSSC Navid Naderializadeh, Morteza Hashemi
2019	J	`jnl`	Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. CoRR Navid Naderializadeh, Morteza Hashemi
2019	Misc	`conf`	Learning to Code: Coded Caching via Deep Reinforcement Learning. ACSSC Navid Naderializadeh, Seyed Mohammad Asghari
2019	J	`jnl`	Learning to Code: Coded Caching via Deep Reinforcement Learning. CoRR Navid Naderializadeh, Seyed Mohammad Asghari
2019	—	`conf`	Monitoring Under-Modeled Rare Events for URLLC. SPAWC Vasuki Narasimha Swamy, Navid Naderializadeh, Venkatesan Nallampatti Ekambaram, Shilpa Talwar, Anant Sahai
2019	J	`jnl`	When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework. CoRR Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar
2018	—	`conf`	Feedback-Based Interference Management in Ultra-Dense Networks via Parallel Dynamic Cell Selection and Link Scheduling. ICC Navid Naderializadeh, Hosein Nikopour, Oner Orhan, Shilpa Talwar
2017	—	`conf`	Cache-aided interference management in wireless cellular networks. ICC Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	Fundamental Limits of Cache-Aided Interference Management. IEEE Trans. Inf. Theory Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory. IEEE Trans. Inf. Theory Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr
2017	B	`conf`	On the optimality of separation between caching and delivery in general cache networks. ISIT Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	Topological Interference Management With Reconfigurable Antennas. IEEE Trans. Commun. Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee
2017	—	`conf`	Ultra-Dense Networks in 5G: Interference Management via Non-Orthogonal Multiple Access and Treating Interference as Noise. VTC Fall Navid Naderializadeh, Oner Orhan, Hosein Nikopour, Shilpa Talwar
2016	J	`jnl`	Fundamental Limits of Cache-Aided Interference Management. CoRR Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	B	`conf`	Fundamental limits of cache-aided interference management. ISIT Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	J	`jnl`	Topological Interference Management with Reconfigurable Antennas. CoRR Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee
2016	B	`conf`	Topological interference management with reconfigurable antennas. ISIT Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee
2015	J	`jnl`	Interference Networks With no CSIT: Impact of Topology. IEEE Trans. Inf. Theory Navid Naderializadeh, Amir Salman Avestimehr
2015	J	`jnl`	On the Optimality of Treating Interference as Noise. IEEE Trans. Inf. Theory Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar
2015	J	`jnl`	Topological Interference Management with just Retransmission: What are the "Best" Topologies? CoRR Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr
2015	—	`conf`	Topological interference management with just retransmission: What are the "Best" topologies? ICC Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr
2015	J	`jnl`	When Does an Ensemble of Matrices with Randomly Scaled Rows Lose Rank? CoRR Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr
2015	B	`conf`	When does an ensemble of matrices with randomly scaled rows lose rank? ISIT Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr
2014	—	`conf`	How to utilize caching to improve spectral efficiency in device-to-device wireless networks. Allerton Navid Naderializadeh, David T. H. Kao, Amir Salman Avestimehr
2014	J	`jnl`	ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. IEEE J. Sel. Areas Commun. Navid Naderializadeh, Amir Salman Avestimehr
2014	B	`conf`	ITLinQ: A new approach for spectrum sharing in device-to-device communication systems. ISIT Navid Naderializadeh, Amir Salman Avestimehr
2014	—	`conf`	ITLinQ: A new approach for spectrum sharing. DySPAN Navid Naderializadeh, Amir Salman Avestimehr
2013	J	`jnl`	ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. CoRR Navid Naderializadeh, Amir Salman Avestimehr
2013	B	`conf`	Impact of topology on interference networks with no CSIT. ISIT Navid Naderializadeh, Amir Salman Avestimehr
2013	J	`jnl`	Interference Networks with No CSIT: Impact of Topology CoRR Navid Naderializadeh, Amir Salman Avestimehr
2013	J	`jnl`	On the Optimality of Treating Interference as Noise CoRR Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar
2013	—	`conf`	On the optimality of treating interference as noise. Allerton Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar