Navid Naderializadeh

According to our database, Navid Naderializadeh authored at least 43 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Resilient Radio Resource Management Policies With Graph Neural Networks.

Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro

IEEE Trans. Signal Process., 2023

Robust Stochastically-Descending Unrolled Networks.

Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro

CoRR, 2023

Learning State-Augmented Policies for Information Routing in Communication Networks.

Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro

CoRR, 2023

Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers.

Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro

CoRR, 2023

Stochastic Unrolled Federated Learning.

Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro

CoRR, 2023

2022

State-Augmented Learnable Algorithms for Resource Management in Wireless Networks.

Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro

IEEE Trans. Signal Process., 2022

Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT.

Rita H. Wouhaybi, Ravikumar Balakrishnan, Navid Naderializadeh, Ahmad Beirami, Marco Di Felice, Shadi A. Noghabi, Anirudh Badam, Shugong Xu

IEEE Internet Things Mag., 2022

A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks.

Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro

CoRR, 2022

Federated Representation Learning via Maximal Coding Rate Reduction.

Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro

CoRR, 2022

A Lagrangian Duality Approach to Active Learning.

Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Wireless Power Allocation with Graph Neural Networks.

Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning.

Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour

IEEE Trans. Wirel. Commun., 2021

Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels.

Navid Naderializadeh

CoRR, 2021

Set Representation Learning with Generalized Sliced-Wasserstein Embeddings.

Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann

CoRR, 2021

Pooling by Sliced-Wasserstein Embedding.

Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Wasserstein Embedding for Graph Learning.

Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann

Proceedings of the 9th International Conference on Learning Representations, 2021

Contrastive Self-Supervised Learning for Wireless Power Control.

Navid Naderializadeh

Proceedings of the IEEE International Conference on Acoustics, 2021

Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning.

Chuan Sun, Navid Naderializadeh, Morteza Hashemi

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning.

Navid Naderializadeh, Fan H. Hung, Sean Soleyman, Deepak Khosla

CoRR, 2020

On the Communication Latency of Wireless Decentralized Learning.

Navid Naderializadeh

CoRR, 2020

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks.

Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019

Cache-Aided Interference Management in Wireless Cellular Networks.

Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Commun., 2019

Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems.

Peihao Dong, Hua Zhang, Geoffrey Ye Li, Ivan Simões Gaspar, Navid Naderializadeh

IEEE J. Sel. Top. Signal Process., 2019

When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework.

Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar

CoRR, 2019

A Power Efficient Fully Digital Beamforming Architecture for mmWave Communications.

Oner Orhan, Hosein Nikopour, Junyoung Nam, Navid Naderializadeh, Shilpa Talwar

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Monitoring Under-Modeled Rare Events for URLLC.

Vasuki Narasimha Swamy, Navid Naderializadeh, Venkatesan Nallampatti Ekambaram, Shilpa Talwar, Anant Sahai

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation.

Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simões Gaspar

Proceedings of the IEEE International Conference on Acoustics, 2019

Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach.

Navid Naderializadeh, Morteza Hashemi

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Learning to Code: Coded Caching via Deep Reinforcement Learning.

Navid Naderializadeh, Seyed Mohammad Asghari

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Feedback-Based Interference Management in Ultra-Dense Networks via Parallel Dynamic Cell Selection and Link Scheduling.

Navid Naderializadeh, Hosein Nikopour, Oner Orhan, Shilpa Talwar

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

Fundamental Limits of Cache-Aided Interference Management.

Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2017

Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory.

Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2017

Topological Interference Management With Reconfigurable Antennas.

Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee

IEEE Trans. Commun., 2017

Ultra-Dense Networks in 5G: Interference Management via Non-Orthogonal Multiple Access and Treating Interference as Noise.

Navid Naderializadeh, Oner Orhan, Hosein Nikopour, Shilpa Talwar

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

On the optimality of separation between caching and delivery in general cache networks.

Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2015

Interference Networks With no CSIT: Impact of Topology.

Navid Naderializadeh, Amir Salman Avestimehr

IEEE Trans. Inf. Theory, 2015

On the Optimality of Treating Interference as Noise.

Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar

IEEE Trans. Inf. Theory, 2015

When does an ensemble of matrices with randomly scaled rows lose rank?

Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2015

Topological interference management with just retransmission: What are the "Best" topologies?

Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems.

Navid Naderializadeh, Amir Salman Avestimehr

IEEE J. Sel. Areas Commun., 2014

ITLinQ: A new approach for spectrum sharing.

Navid Naderializadeh, Amir Salman Avestimehr

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2014

How to utilize caching to improve spectral efficiency in device-to-device wireless networks.

Navid Naderializadeh, David T. H. Kao, Amir Salman Avestimehr

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Impact of topology on interference networks with no CSIT.

Navid Naderializadeh, Amir Salman Avestimehr

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013