Navid Naderializadeh

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Lagrangian Dual

Resource Management

Reinforcement Learning

Top Venues

IEEE Trans. Inf. Theory

Publications

Yigit Berkay Uslu, Roya Doostnejad, Alejandro Ribeiro, Navid Naderializadeh
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. CoRR (2024)
Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. CoRR (2024)
Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro
State-Augmented Information Routing In Communication Systems With Graph Neural Networks. ICASSP (2024)
Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro
Stochastic Unrolled Federated Learning. CoRR (2023)
Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro
Robust Stochastically-Descending Unrolled Networks. CoRR (2023)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Learning Resilient Radio Resource Management Policies With Graph Neural Networks. IEEE Trans. Signal Process. 71 (2023)
Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro
Learning State-Augmented Policies for Information Routing in Communication Networks. CoRR (2023)
Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro
Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. CoRR (2023)
Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. CoRR (2022)
Rita H. Wouhaybi, Ravikumar Balakrishnan, Navid Naderializadeh, Ahmad Beirami, Marco Di Felice, Shadi Noghabi, Anirudh Badam, Shugong Xu
Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. IEEE Internet Things Mag. 5 (1) (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Adaptive Wireless Power Allocation with Graph Neural Networks. ICASSP (2022)
Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro
Federated Representation Learning via Maximal Coding Rate Reduction. CoRR (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. IEEE Trans. Signal Process. 70 (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR (2022)
Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro
A Lagrangian Duality Approach to Active Learning. NeurIPS (2022)
Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro
A Lagrangian Duality Approach to Active Learning. CoRR (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. CoRR (2022)
Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri
Pooling by Sliced-Wasserstein Embedding. NeurIPS (2021)
Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR (2021)
Navid Naderializadeh
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels. CoRR (2021)
Chuan Sun, Navid Naderializadeh, Morteza Hashemi
Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning. GLOBECOM (Workshops) (2021)
Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 20 (6) (2021)
Navid Naderializadeh
Contrastive Self-Supervised Learning for Wireless Power Control. ICASSP (2021)
Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
Wasserstein Embedding for Graph Learning. ICLR (2021)
Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. SPAWC (2020)
Navid Naderializadeh
On the Communication Latency of Wireless Decentralized Learning. CoRR (2020)
Navid Naderializadeh
Contrastive Self-Supervised Learning for Wireless Power Control. CoRR (2020)
Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
Wasserstein Embedding for Graph Learning. CoRR (2020)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. SPAWC (2020)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. CoRR (2020)
Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. CoRR (2020)
Navid Naderializadeh, Fan H. Hung, Sean Soleyman, Deepak Khosla
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning. CoRR (2020)
Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Cache-Aided Interference Management in Wireless Cellular Networks. IEEE Trans. Commun. 67 (5) (2019)
Navid Naderializadeh, Seyed Mohammad Asghari
Learning to Code: Coded Caching via Deep Reinforcement Learning. ACSSC (2019)
Peihao Dong, Hua Zhang, Geoffrey Ye Li, Ivan Simões Gaspar, Navid Naderializadeh
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems. IEEE J. Sel. Top. Signal Process. 13 (5) (2019)
Navid Naderializadeh, Seyed Mohammad Asghari
Learning to Code: Coded Caching via Deep Reinforcement Learning. CoRR (2019)
Navid Naderializadeh, Morteza Hashemi
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. CoRR (2019)
Oner Orhan, Hosein Nikopour, Junyoung Nam, Navid Naderializadeh, Shilpa Talwar
A Power Efficient Fully Digital Beamforming Architecture for mmWave Communications. VTC Spring (2019)
Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simoes Gaspar
Deep CNN based Channel Estimation for mmWave Massive MIMO Systems. CoRR (2019)
Vasuki Narasimha Swamy, Navid Naderializadeh, Venkatesan Nallampatti Ekambaram, Shilpa Talwar, Anant Sahai
Monitoring Under-Modeled Rare Events for URLLC. SPAWC (2019)
Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simões Gaspar
Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation. ICASSP (2019)
Navid Naderializadeh, Morteza Hashemi
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. ACSSC (2019)
Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework. CoRR (2019)
Navid Naderializadeh, Hosein Nikopour, Oner Orhan, Shilpa Talwar
Feedback-Based Interference Management in Ultra-Dense Networks via Parallel Dynamic Cell Selection and Link Scheduling. ICC (2018)
Navid Naderializadeh, Oner Orhan, Hosein Nikopour, Shilpa Talwar
Ultra-Dense Networks in 5G: Interference Management via Non-Orthogonal Multiple Access and Treating Interference as Noise. VTC Fall (2017)
Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Cache-aided interference management in wireless cellular networks. ICC (2017)
Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr
Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory. IEEE Trans. Inf. Theory 63 (10) (2017)
Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
On the optimality of separation between caching and delivery in general cache networks. ISIT (2017)
Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee
Topological Interference Management With Reconfigurable Antennas. IEEE Trans. Commun. 65 (11) (2017)
Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Fundamental Limits of Cache-Aided Interference Management. IEEE Trans. Inf. Theory 63 (5) (2017)
Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee
Topological Interference Management with Reconfigurable Antennas. CoRR (2016)
Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Fundamental Limits of Cache-Aided Interference Management. CoRR (2016)
Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
Fundamental limits of cache-aided interference management. ISIT (2016)
Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee
Topological interference management with reconfigurable antennas. ISIT (2016)
Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr
Topological Interference Management with just Retransmission: What are the "Best" Topologies? CoRR (2015)
Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr
When Does an Ensemble of Matrices with Randomly Scaled Rows Lose Rank? CoRR (2015)
Navid Naderializadeh, Amir Salman Avestimehr
Interference Networks With no CSIT: Impact of Topology. IEEE Trans. Inf. Theory 61 (2) (2015)
Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr
Topological interference management with just retransmission: What are the "Best" topologies? ICC (2015)
Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr
When does an ensemble of matrices with randomly scaled rows lose rank? ISIT (2015)
Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar
On the Optimality of Treating Interference as Noise. IEEE Trans. Inf. Theory 61 (4) (2015)
Navid Naderializadeh, David T. H. Kao, Amir Salman Avestimehr
How to utilize caching to improve spectral efficiency in device-to-device wireless networks. Allerton (2014)
Navid Naderializadeh, Amir Salman Avestimehr
ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. IEEE J. Sel. Areas Commun. 32 (6) (2014)
Navid Naderializadeh, Amir Salman Avestimehr
ITLinQ: A new approach for spectrum sharing in device-to-device communication systems. ISIT (2014)
Navid Naderializadeh, Amir Salman Avestimehr
ITLinQ: A new approach for spectrum sharing. DySPAN (2014)
Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar
On the optimality of treating interference as noise. Allerton (2013)
Navid Naderializadeh, Amir Salman Avestimehr
Interference Networks with No CSIT: Impact of Topology CoRR (2013)
Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar
On the Optimality of Treating Interference as Noise CoRR (2013)
Navid Naderializadeh, Amir Salman Avestimehr
Impact of topology on interference networks with no CSIT. ISIT (2013)
Navid Naderializadeh, Amir Salman Avestimehr
ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. CoRR (2013)