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2020 – today
- 2024
[j73]Amit Milstein
, Guy Revach, Haoran Deng, Hai Morgenstern, Nir Shlezinger:
Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading. IEEE Trans. Signal Process. 72: 1974-1988 (2024)- [j72]Itay Buchnik, Guy Sagi, Nimrod Leinwand, Yuval Loya, Nir Shlezinger, Tirza Routtenberg:
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering. IEEE Trans. Signal Process. 72: 3700-3716 (2024) - [j71]Guy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings:
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising. IEEE Trans. Signal Process. 72: 3990-4006 (2024) - [j70]Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun:
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. IEEE Trans. Veh. Technol. 73(2): 2771-2785 (2024) - [j69]Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne:
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. IEEE Trans. Wirel. Commun. 23(8): 10001-10014 (2024) - [j68]George C. Alexandropoulos, Nir Shlezinger, Idban Alamzadeh, Mohammadreza F. Imani, Haiyang Zhang, Yonina C. Eldar:
Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications. IEEE Veh. Technol. Mag. 19(1): 75-84 (2024) - [j67]Nir Shlezinger, Mengyuan Ma, Ortal Lavi, Nhan Thanh Nguyen, Yonina C. Eldar, Markku J. Juntti:
Artificial Intelligence-Empowered Hybrid Multiple-input/multiple-output Beamforming: Learning to Optimize for High-Throughput Scalable MIMO. IEEE Veh. Technol. Mag. 19(3): 58-67 (2024) - [j66]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. IEEE Wirel. Commun. 31(4): 163-169 (2024) - [c100]Tal Vol, Loai Danial, Nir Shlezinger:
Power-Aware Task-Based Learning of Neuromorphic ADCs. ICASSP 2024: 5850-5854 - [c99]Xiaoyong Ni, Guy Revach, Nir Shlezinger:
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation. ICASSP 2024: 5970-5974 - [c98]Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger:
Data-Driven Lattices for Vector Quantization. ICASSP 2024: 8080-8084 - [c97]Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger:
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. ICASSP 2024: 8856-8860 - [c96]Yaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar:
Leaky Waveguide Antennas for Downlink Wideband THz Communications. ICASSP 2024: 9111-9115 - [c95]Eyal Fishel Ben, Nikita Tsarov, Tslil Tapiro, Itay Nuri, Nir Shlezinger:
Learn to Track-Before-Detect via Neural Dynamic Programming. ICASSP 2024: 9586-9590 - [c94]Ohad Levy, Nir Shlezinger:
Rapid Hybrid Modular Receive Beamforming Via Learned Optimization. ICASSP 2024: 12826-12830 - [c93]Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger:
Uncertainty Quantification in Deep Learning Based Kalman Filters. ICASSP 2024: 13121-13125 - [i86]Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen:
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs. CoRR abs/2401.12627 (2024) - [i85]Natalie Lang, Alejandro Cohen, Nir Shlezinger:
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates. CoRR abs/2403.18375 (2024) - [i84]Tomer Alter, Nir Shlezinger:
Rapid Optimization of Superposition Codes for Multi-Hop NOMA MANETs via Deep Unfolding. CoRR abs/2406.05747 (2024) - [i83]Jun Chen, Yong Fang, Ashish Khisti, Ayfer Özgür, Nir Shlezinger, Chao Tian:
Information Compression in the AI Era: Recent Advances and Future Challenges. CoRR abs/2406.10036 (2024) - [i82]Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros:
Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers. CoRR abs/2407.09134 (2024) - [i81]Ohad Levy, Nir Shlezinger:
Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming. CoRR abs/2408.00439 (2024) - [i80]Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen:
Optimization of Iterative Blind Detection based on Expectation Maximization and Belief Propagation. CoRR abs/2408.02312 (2024) - [i79]Itai Nuri, Nir Shlezinger:
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation. CoRR abs/2408.11348 (2024) - [i78]Tomer Raviv, Nir Shlezinger:
Modular Hypernetworks for Scalable and Adaptive Deep MIMO Receivers. CoRR abs/2408.11920 (2024) - 2023
- [j65]Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad:
MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG Signals. IEEE Access 11: 23085-23096 (2023) - [j64]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Yonina C. Eldar:
6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing. IEEE Commun. Mag. 61(4): 72-77 (2023) - [j63]Nir Shlezinger, Yonina C. Eldar:
Model-Based Deep Learning. Found. Trends Signal Process. 17(4): 291-416 (2023) - [j62]Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis:
Model-Based Deep Learning. Proc. IEEE 111(5): 465-499 (2023) - [j61]Sundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu, George C. Alexandropoulos, Stefano Buzzi, Yonina C. Eldar:
Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing. IEEE Signal Process. Mag. 40(6): 41-62 (2023) - [j60]Nir Shlezinger, Tirza Routtenberg:
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]. IEEE Signal Process. Mag. 40(6): 75-82 (2023) - [j59]Haiyang Zhang, Nir Shlezinger, George C. Alexandropoulos, Avner Shultzman, Idban Alamzadeh, Mohammadreza F. Imani, Yonina C. Eldar:
Channel Estimation With Hybrid Reconfigurable Intelligent Metasurfaces. IEEE Trans. Commun. 71(4): 2441-2456 (2023) - [j58]Ortal Lavi, Nir Shlezinger:
Learn to Rapidly and Robustly Optimize Hybrid Precoding. IEEE Trans. Commun. 71(10): 5814-5830 (2023) - [j57]Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen:
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. IEEE Trans. Signal Process. 71: 202-217 (2023) - [j56]Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger:
Joint Privacy Enhancement and Quantization in Federated Learning. IEEE Trans. Signal Process. 71: 295-310 (2023) - [j55]Nhan Thanh Nguyen, Nir Shlezinger, Yonina C. Eldar, Markku J. Juntti:
Multiuser MIMO Wideband Joint Communications and Sensing System With Subcarrier Allocation. IEEE Trans. Signal Process. 71: 2997-3013 (2023) - [j54]Nhan Thanh Nguyen, Mengyuan Ma, Ortal Lavi, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti:
Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems. IEEE Trans. Signal Process. 71: 3788-3804 (2023) - [j53]Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
RTSNet: Learning to Smooth in Partially Known State-Space Models. IEEE Trans. Signal Process. 71: 4441-4456 (2023) - [j52]Emeka Abakasanga, Nir Shlezinger, Ron Dabora:
Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks. IEEE Trans. Veh. Technol. 72(9): 12234-12247 (2023) - [j51]Geon Choi, Jeonghun Park, Nir Shlezinger, Yonina C. Eldar, Namyoon Lee:
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for State Estimation. IEEE Trans. Veh. Technol. 72(9): 12326-12331 (2023) - [j50]Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne:
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading. IEEE Trans. Wirel. Commun. 22(1): 580-595 (2023) - [j49]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Online Meta-Learning for Hybrid Model-Based Deep Receivers. IEEE Trans. Wirel. Commun. 22(10): 6415-6431 (2023) - [j48]Tomer Raviv, Nir Shlezinger:
Data Augmentation for Deep Receivers. IEEE Trans. Wirel. Commun. 22(11): 8259-8274 (2023) - [c92]Nhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, A. Lee Swindlehurst, Markku J. Juntti:
Fast Deep Unfolded Hybrid Beamforming in Multiuser Large MIMO Systems. ACSSC 2023: 486-490 - [c91]Timur Zirtiloglu, Peter Crary, Eyyup Tasci, Arslan Riaz, Yonina C. Eldar, Nir Shlezinger, Rabia Tugce Yazicigil:
Task-Specific Low-Power Beamforming MIMO Receiver Using 2-Bit Analog-to-Digital Converters. A-SSCC 2023: 1-3 - [c90]Lital Dabush, Nir Shlezinger, Tirza Routtenberg:
Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals. CISS 2023: 1-6 - [c89]Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger:
Generating Artistic Images Via Few-Shot Style Transfer. ICASSP Workshops 2023: 1-5 - [c88]Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger:
Learned Kalman Filtering in Latent Space with High-Dimensional Data. ICASSP 2023: 1-5 - [c87]Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger:
LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. ICASSP 2023: 1-5 - [c86]Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger:
Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading. ICASSP 2023: 1-5 - [c85]Wei Huang, Haiyang Zhang, Nir Shlezinger, Yonina C. Eldar:
Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas. ICASSP 2023: 1-5 - [c84]Natalie Lang, Elad Sofer, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb:
CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks. ICASSP 2023: 1-5 - [c83]Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings:
Hierarchical Filtering With Online Learned Priors for ECG Denoising. ICASSP 2023: 1-5 - [c82]May Malka, Shai Ginzach, Nir Shlezinger:
Learning Multi-Rate Vector Quantization for Remote Deep Inference. ICASSP Workshops 2023: 1-5 - [c81]Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti:
Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems. ICASSP 2023: 1-5 - [c80]Yoav Noah, Nir Shlezinger:
Distributed Admm with Limited Communications Via Deep Unfolding. ICASSP 2023: 1-5 - [c79]Guy Sagi, Nir Shlezinger, Tirza Routtenberg:
Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems. ICASSP 2023: 1-5 - [c78]Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger:
Deep Root Music Algorithm for Data-Driven Doa Estimation. ICASSP 2023: 1-5 - [c77]Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein:
Outlier-Insensitive Kalman Filtering Using NUV Priors. ICASSP 2023: 1-5 - [c76]Qianyu Yang, Anna Guerra, Francesco Guidi, Nir Shlezinger, Haiyang Zhang, Davide Dardari, Baoyun Wang, Yonina C. Eldar:
Near-field Localization with Dynamic Metasurface Antennas. ICASSP 2023: 1-5 - [c75]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops 2023: 1032-1037 - [c74]Tomer Alter, Nir Shlezinger:
Deep Unfolded Superposition Coding Optimization for Two-Hop NOMA MANETs. MILCOM 2023: 286-291 - [c73]Elad Sofer, Nir Shlezinger:
On the Interpretable Adversarial Sensitivity of Iterative Optimizers. MLSP 2023: 1-6 - [c72]Nhan Thanh Nguyen, Nir Shlezinger, Khac-Hoang Ngo, Van-Dinh Nguyen, Markku J. Juntti:
Joint Communications and Sensing Design for Multi-Carrier MIMO Systems. SSP 2023: 110-114 - [i77]Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger:
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. CoRR abs/2301.06060 (2023) - [i76]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR abs/2302.02436 (2023) - [i75]Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne:
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. CoRR abs/2302.04993 (2023) - [i74]Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti:
Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems. CoRR abs/2302.12041 (2023) - [i73]Nir Shlezinger, Mengyuan Ma, Ortal Lavi, Nhan Thanh Nguyen, Yonina C. Eldar, Markku J. Juntti:
AI-Empowered Hybrid MIMO Beamforming. CoRR abs/2303.01723 (2023) - [i72]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR abs/2305.07309 (2023) - [i71]Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger:
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. CoRR abs/2306.02271 (2023) - [i70]Nhan Thanh Nguyen, Nir Shlezinger, Khac-Hoang Ngo, Van-Dinh Nguyen, Markku J. Juntti:
Joint Communications and Sensing Design for Multi-Carrier MIMO Systems. CoRR abs/2306.14006 (2023) - [i69]Nhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti:
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding. CoRR abs/2307.04376 (2023) - [i68]Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb:
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks. CoRR abs/2308.00540 (2023) - [i67]Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein:
Outlier-Insensitive Kalman Filtering: Theory and Applications. CoRR abs/2309.09505 (2023) - [i66]Yoav Noah, Nir Shlezinger:
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM. CoRR abs/2309.14353 (2023) - [i65]Itay Buchnik, Guy Sagi, Nimrod Leinwand, Yuval Loya, Nir Shlezinger, Tirza Routtenberg:
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering. CoRR abs/2311.16602 (2023) - 2022
- [j47]Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd:
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. IEEE Access 10: 115384-115398 (2022) - [j46]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges. IEEE Commun. Mag. 60(3): 12-18 (2022) - [j45]Nir Shlezinger, Ivan V. Bajic:
Collaborative Inference for AI-Empowered IoT Devices. IEEE Internet Things Mag. 5(4): 92-98 (2022) - [j44]Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor:
Federated Learning: A signal processing perspective. IEEE Signal Process. Mag. 39(3): 14-41 (2022) - [j43]Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
Learned Factor Graphs for Inference From Stationary Time Sequences. IEEE Trans. Signal Process. 70: 366-380 (2022) - [j42]Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar:
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. IEEE Trans. Signal Process. 70: 1532-1547 (2022) - [j41]Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar:
Graph Signal Compression by Joint Quantization and Sampling. IEEE Trans. Signal Process. 70: 4512-4527 (2022) - [j40]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. IEEE Trans. Signal Process. 70: 6021-6034 (2022) - [j39]Thien Van Luong, Nir Shlezinger, Chao Xu, Tiep Minh Hoang, Yonina C. Eldar, Lajos Hanzo:
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink. IEEE Trans. Veh. Technol. 71(11): 11876-11888 (2022) - [j38]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Beam Focusing for Near-Field Multiuser MIMO Communications. IEEE Trans. Wirel. Commun. 21(9): 7476-7490 (2022) - [c71]Bar Rubinstein, Yoav Filin, Nir Shlezinger, Nariman Farsad:
Personalized Sleep State Classification via Learned Factor Graphs. EUSIPCO 2022: 1427-1431 - [c70]Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. EUSIPCO 2022: 1571-1575 - [c69]Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne:
End-to-End Fading Channel Modeling for RIS-Empowered Smart Wireless Environments. GLOBECOM (Workshops) 2022: 741-746 - [c68]Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar:
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. ICASSP 2022: 3194-3198 - [c67]Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP 2022: 3598-3602 - [c66]Eyal Fishel Ben-Knaan, Yonina C. Eldar, Nir Shlezinger:
Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing. ICASSP 2022: 4518-4522 - [c65]Timur Zirtiloglu, Nir Shlezinger, Yonina C. Eldar, Rabia Tugce Yazicigil:
Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs. ICASSP 2022: 5338-5342 - [c64]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
On the Acquisition of Stationary Signals Using Uniform ADCS. ICASSP 2022: 5518-5522 - [c63]Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP 2022: 5902-5906 - [c62]Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad:
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection. ICASSP 2022: 8677-8681 - [c61]Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos:
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic Rich-Scattering Environments. ICASSP 2022: 8822-8826 - [c60]Ron Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger:
Symbol-Level Online Channel Tracking for Deep Receivers. ICASSP 2022: 8897-8901 - [c59]Konstantinos D. Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos:
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization. ICC Workshops 2022: 151-156 - [c58]Natalie Lang, Nir Shlezinger:
Joint Privacy Enhancement and Quantization in Federated Learning. ISIT 2022: 2040-2045 - [c57]Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen:
Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT 2022: 2421-2426 - [c56]Alejandro Cohen, Amit Solomon, Nir Shlezinger:
DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications. ISIT 2022: 2690-2695 - [c55]Ortal Agiv, Nir Shlezinger:
Learn to Rapidly Optimize Hybrid Precoding. SPAWC 2022: 1-5 - [c54]Tomer Raviv, Nir Shlezinger:
Adaptive Data Augmentation for Deep Receivers. SPAWC 2022: 1-5 - [c53]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Near-Field Wireless Power Transfer with Dynamic Metasurface Antennas. SPAWC 2022: 1-5 - [i64]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. CoRR abs/2201.12634 (2022) - [i63]Konstantinos Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos:
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization. CoRR abs/2202.02169 (2022) - [i62]Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne:
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading. CoRR abs/2202.02673 (2022) - [i61]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
On the Acquisition of Stationary Signals Using Uniform ADCs. CoRR abs/2202.05143 (2022) - [i60]Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos:
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments. CoRR abs/2202.07884 (2022) - [i59]