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ORCIDNavid Naderializadeh
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2020 – today
- 2025
[j14]Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro:
Learning State-Augmented Policies for Information Routing in Communication Networks. IEEE Trans. Signal Process. 73: 204-218 (2025)- 2024
- [j13]Samar Hadou
, Navid Naderializadeh, Alejandro Ribeiro:
Robust Stochastically-Descending Unrolled Networks. IEEE Trans. Signal Process. 72: 5484-5499 (2024) - [c27]Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro:
State-Augmented Information Routing In Communication Systems With Graph Neural Networks. ICASSP 2024: 9181-9185 - [i30]Xingran Chen, Navid Naderializadeh, Alejandro Ribeiro, Shirin Saeedi Bidokhti:
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. CoRR abs/2404.03227 (2024) - [i29]Yigit Berkay Uslu, Roya Doostnejad, Alejandro Ribeiro, Navid Naderializadeh:
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. CoRR abs/2405.05748 (2024) - 2023
- [j12]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Learning Resilient Radio Resource Management Policies With Graph Neural Networks. IEEE Trans. Signal Process. 71: 995-1009 (2023) - [i28]Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro:
Stochastic Unrolled Federated Learning. CoRR abs/2305.15371 (2023) - [i27]Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro:
Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. CoRR abs/2310.00154 (2023) - [i26]Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro:
Learning State-Augmented Policies for Information Routing in Communication Networks. CoRR abs/2310.00248 (2023) - [i25]Samar Hadou, Navid Naderializadeh, Alejandro Ribeiro:
Robust Stochastically-Descending Unrolled Networks. CoRR abs/2312.15788 (2023) - 2022
- [j11]Rita H. Wouhaybi, Ravikumar Balakrishnan, Navid Naderializadeh, Ahmad Beirami, Marco Di Felice, Shadi A. Noghabi, Anirudh Badam, Shugong Xu:
Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. IEEE Internet Things Mag. 5(1): 22-23 (2022) - [j10]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. IEEE Trans. Signal Process. 70: 5898-5912 (2022) - [c26]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Adaptive Wireless Power Allocation with Graph Neural Networks. ICASSP 2022: 5213-5217 - [c25]Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro:
A Lagrangian Duality Approach to Active Learning. NeurIPS 2022 - [i24]Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro:
A Lagrangian Duality Approach to Active Learning. CoRR abs/2202.04108 (2022) - [i23]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR abs/2203.11012 (2022) - [i22]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. CoRR abs/2207.02242 (2022) - [i21]Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro:
Federated Representation Learning via Maximal Coding Rate Reduction. CoRR abs/2210.00299 (2022) - [i20]Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. CoRR abs/2210.16412 (2022) - 2021
- [j9]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): 3507-3523 (2021) - [c24]Chuan Sun, Navid Naderializadeh, Morteza Hashemi:
Optimizing the Configuration of Intelligent Reflecting Surfaces using Deep Learning. GLOBECOM (Workshops) 2021: 1-6 - [c23]Navid Naderializadeh:
Contrastive Self-Supervised Learning for Wireless Power Control. ICASSP 2021: 4965-4969 - [c22]Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann:
Wasserstein Embedding for Graph Learning. ICLR 2021 - [c21]Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri:
Pooling by Sliced-Wasserstein Embedding. NeurIPS 2021: 3389-3400 - [i19]Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann:
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR abs/2103.03892 (2021) - [i18]Navid Naderializadeh:
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels. CoRR abs/2110.01722 (2021) - 2020
- [c20]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. SPAWC 2020: 1-5 - [c19]Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour:
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. SPAWC 2020: 1-5 - [i17]Navid Naderializadeh:
On the Communication Latency of Wireless Decentralized Learning. CoRR abs/2002.04069 (2020) - [i16]Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour:
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning. CoRR abs/2002.06215 (2020) - [i15]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. CoRR abs/2002.07631 (2020) - [i14]Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann:
Wasserstein Embedding for Graph Learning. CoRR abs/2006.09430 (2020) - [i13]Navid Naderializadeh, Fan H. Hung, Sean Soleyman, Deepak Khosla:
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning. CoRR abs/2010.04740 (2020) - [i12]Navid Naderializadeh:
Contrastive Self-Supervised Learning for Wireless Power Control. CoRR abs/2010.11909 (2020)
2010 – 2019
- 2019
- [j8]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): 989-1000 (2019) - [j7]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Cache-Aided Interference Management in Wireless Cellular Networks. IEEE Trans. Commun. 67(5): 3376-3387 (2019) - [c18]Navid Naderializadeh, Morteza Hashemi:
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. ACSSC 2019: 383-387 - [c17]Navid Naderializadeh, Seyed Mohammad Asghari:
Learning to Code: Coded Caching via Deep Reinforcement Learning. ACSSC 2019: 1774-1778 - [c16]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: 4529-4533 - [c15]Vasuki Narasimha Swamy, Navid Naderializadeh, Venkatesan Nallampatti Ekambaram, Shilpa Talwar, Anant Sahai:
Monitoring Under-Modeled Rare Events for URLLC. SPAWC 2019: 1-5 - [c14]Oner Orhan, Hosein Nikopour, Junyoung Nam, Navid Naderializadeh, Shilpa Talwar:
A Power Efficient Fully Digital Beamforming Architecture for mmWave Communications. VTC Spring 2019: 1-6 - [i11]Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simoes Gaspar:
Deep CNN based Channel Estimation for mmWave Massive MIMO Systems. CoRR abs/1904.06761 (2019) - [i10]Navid Naderializadeh, Jaroslaw J. Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar:
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework. CoRR abs/1906.08792 (2019) - [i9]Navid Naderializadeh, Seyed Mohammad Asghari:
Learning to Code: Coded Caching via Deep Reinforcement Learning. CoRR abs/1912.04321 (2019) - [i8]Navid Naderializadeh, Morteza Hashemi:
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach. CoRR abs/1912.10485 (2019) - 2018
- [c13]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: 1-6 - 2017
- [j6]Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee:
Topological Interference Management With Reconfigurable Antennas. IEEE Trans. Commun. 65(11): 4926-4939 (2017) - [j5]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental Limits of Cache-Aided Interference Management. IEEE Trans. Inf. Theory 63(5): 3092-3107 (2017) - [j4]Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr:
Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory. IEEE Trans. Inf. Theory 63(10): 6573-6586 (2017) - [c12]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Cache-aided interference management in wireless cellular networks. ICC 2017: 1-7 - [c11]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
On the optimality of separation between caching and delivery in general cache networks. ISIT 2017: 1232-1236 - [c10]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: 1-6 - 2016
- [c9]Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee:
Topological interference management with reconfigurable antennas. ISIT 2016: 555-559 - [c8]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental limits of cache-aided interference management. ISIT 2016: 2044-2048 - [i7]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental Limits of Cache-Aided Interference Management. CoRR abs/1602.04207 (2016) - [i6]Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee:
Topological Interference Management with Reconfigurable Antennas. CoRR abs/1605.01473 (2016) - 2015
- [j3]Navid Naderializadeh, Amir Salman Avestimehr:
Interference Networks With no CSIT: Impact of Topology. IEEE Trans. Inf. Theory 61(2): 917-938 (2015) - [j2]Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar:
On the Optimality of Treating Interference as Noise. IEEE Trans. Inf. Theory 61(4): 1753-1767 (2015) - [c7]Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr:
Topological interference management with just retransmission: What are the "Best" topologies? ICC 2015: 4113-4119 - [c6]Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr:
When does an ensemble of matrices with randomly scaled rows lose rank? ISIT 2015: 1502-1506 - [i5]Aly El Gamal, Navid Naderializadeh, Amir Salman Avestimehr:
When Does an Ensemble of Matrices with Randomly Scaled Rows Lose Rank? CoRR abs/1501.07544 (2015) - [i4]Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr:
Topological Interference Management with just Retransmission: What are the "Best" Topologies? CoRR abs/1502.03147 (2015) - 2014
- [j1]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): 1139-1151 (2014) - [c5]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: 415-422 - [c4]Navid Naderializadeh, Amir Salman Avestimehr:
ITLinQ: A new approach for spectrum sharing. DySPAN 2014: 327-333 - [c3]Navid Naderializadeh, Amir Salman Avestimehr:
ITLinQ: A new approach for spectrum sharing in device-to-device communication systems. ISIT 2014: 1573-1577 - 2013
- [c2]Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar:
On the optimality of treating interference as noise. Allerton 2013: 1166-1173 - [c1]Navid Naderializadeh, Amir Salman Avestimehr:
Impact of topology on interference networks with no CSIT. ISIT 2013: 394-398 - [i3]Navid Naderializadeh, Amir Salman Avestimehr:
Interference Networks with No CSIT: Impact of Topology. CoRR abs/1302.0296 (2013) - [i2]Chunhua Geng, Navid Naderializadeh, Amir Salman Avestimehr, Syed Ali Jafar:
On the Optimality of Treating Interference as Noise. CoRR abs/1305.4610 (2013) - [i1]Navid Naderializadeh, Amir Salman Avestimehr:
ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems. CoRR abs/1311.5527 (2013)
Coauthor Index
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