Nir Shlezinger

318 papers A* 1B 15Misc 57Journal 201Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
Memory-Efficient Distributed Unlearning.
IEEE Access
Natalie Lang, Alon Helvits, Nir Shlezinger
2026 J jnl
Near-Field Localization via AI-Aided Subspace Methods.
IEEE Trans. Commun.
Arad Gast, Luc Le Magoarou, Nir Shlezinger
2026 J jnl
SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines.
CoRR
Itai Morad, Nir Shlezinger, Yonina C. Eldar
2026 J jnl
Wideband THz Multi-User Downlink Communications With Leaky Wave Antennas.
IEEE Trans. Wirel. Commun.
Natalie Lang, Yaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar
2025 J jnl
A Deep-NN Beamforming Approach for Dual Function Radar-Communication THz UAV.
IEEE Trans. Veh. Technol.
Gianluca Fontanesi, Anna Guerra, Francesco Guidi, Juan Andrés Vásquez-Peralvo, Nir Shlezinger, Alberto Zanella, Eva Lagunas, Symeon Chatzinotas, Davide Dardari, Petar M. Djuric
2025 — conf
AI-Aided Annealed Langevin Dynamics for Rapid Optimization of Programmable Channels.
SPAWC
Tomer Shaked, Philipp del Hougne, George C. Alexandropoulos, Nir Shlezinger
2025 J jnl
Adaptive Deadline and Batch Layered Synchronized Federated Learning.
CoRR
Asaf Goren, Natalie Lang, Nir Shlezinger, Alejandro Cohen
2025 J jnl
Artificial Intelligence-Aided Kalman Filters: AI-Augmented Designs for Kalman-Type Algorithms.
IEEE Signal Process. Mag.
Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2025 J jnl
Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers.
IEEE Trans. Wirel. Commun.
Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros
2025 J jnl
Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter.
IEEE Trans. Signal Process.
Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger
2025 J jnl
Beam Focusing for Near-Field Multi-User Localization.
IEEE Trans. Veh. Technol.
Qianyu Yang, Anna Guerra, Francesco Guidi, Nir Shlezinger, Haiyang Zhang, Davide Dardari, Baoyun Wang, Yonina C. Eldar
2025 J jnl
Blind Channel Estimation and Joint Symbol Detection With Data-Driven Factor Graphs.
IEEE Trans. Commun.
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2025 J jnl
Compressed Private Aggregation for Scalable and Robust Federated Learning Over Massive Networks.
IEEE Trans. Mob. Comput.
Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
2025 Misc conf
DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources.
ICASSP
Arad Gast, Luc Le Magoarou, Nir Shlezinger
2025 J jnl
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge.
IEEE Trans. Wirel. Commun.
May Malka, Erez Farhan, Hai Morgenstern, Nir Shlezinger
2025 — conf
Deep Unfolding-Empowered mmWave Massive MIMO Joint Communications and Sensing.
JC&S
Nhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti
2025 J jnl
Deep Unfolding: Recent Developments, Theory, and Design Guidelines.
CoRR
Nir Shlezinger, Santiago Segarra, Yi Zhang, Dvir Avrahami, Zohar Davidov, Tirza Routtenberg, Yonina C. Eldar
2025 Misc conf
Deep Variational Sequential Monte Carlo for High-Dimensional Observations.
ICASSP
Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun
2025 J jnl
Deep Variational Sequential Monte Carlo for High-Dimensional Observations.
CoRR
Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun
2025 J jnl
DiffAU: Diffusion-Based Ambisonics Upscaling.
CoRR
Amit Milstein, Nir Shlezinger, Boaz Rafaely
2025 J jnl
Distributed Learn-to-Optimize: Limited Communications Optimization Over Networks via Deep Unfolded Distributed ADMM.
IEEE Trans. Mob. Comput.
Yoav Noah, Nir Shlezinger
2025 J jnl
Guest Editorial: Rethinking the Information Identification, Representation, and Transmission Pipeline: New Approaches to Data Compression and Communication.
IEEE J. Sel. Areas Commun.
Jun Chen, Alexandros G. Dimakis, Yong Fang, Ashish Khisti, Ayfer Özgür, Nir Shlezinger
2025 J jnl
In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory.
CoRR
Matteo Zecchin, Tomer Raviv, Dileep Kalathil, Krishna Narayanan, Nir Shlezinger, Osvaldo Simeone
2025 J jnl
Information Compression in the AI Era: Recent Advances and Future Challenges.
IEEE J. Sel. Areas Commun.
Jun Chen, Yong Fang, Ashish Khisti, Ayfer Özgür, Nir Shlezinger
2025 Misc conf
Learned Approximated Optimization for Rapid Low-Complexity Hybrid Beamforming Design.
ICASSP
Amit Milstein, Tomer Yablonka, Nir Shlezinger
2025 J jnl
Learning Flock: Enhancing Sets of Particles for Multi Substate Particle Filtering With Neural Augmentation.
IEEE Trans. Signal Process.
Itai Nuri, Nir Shlezinger
2025 J jnl
Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation.
IEEE Trans. Signal Process.
Tal Vol, Loai Danial, Nir Shlezinger
2025 Misc conf
Learning-Aided Kalman Tracking in Biased Dynamic Systems: The Case of Cable-Driven Robots for Surgery.
ICASSP
Linoy Ketashvili, Shachar Ashkenasy, Ilana Nisky, Nir Shlezinger
2025 Misc conf
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems.
ICASSP
Mengyuan Ma, Tianyu Fang, Nir Shlezinger, A. Lee Swindlehurst, Markku J. Juntti, Nhan Nguyen
2025 — conf
Multiuser Localization with Leaky Wave Antennas.
SPAWC
Yoni Bartal, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar, Tirza Routtenberg, Nir Shlezinger
2025 J jnl
Near Field Localization via AI-Aided Subspace Methods.
CoRR
Arad Gast, Luc Le Magoarou, Nir Shlezinger
2025 J jnl
Near-Field Beam Focusing for Wireless Power Transfer With Dynamic Metasurface Antennas.
IEEE Internet Things J.
Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Anna Guerra, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar
2025 J jnl
OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning.
CoRR
Natalie Lang, Maya Simhi, Nir Shlezinger
2025 J jnl
Online Learning of Modular Bayesian Deep Receivers: Single-Step Adaptation with Streaming Data.
CoRR
Yakov Gusakov, Osvaldo Simeone, Tirza Routtenberg, Nir Shlezinger
2025 J jnl
Optimal ISAC Beamforming Structure and Efficient Algorithms for Sum Rate and CRLB Balancing.
CoRR
Tianyu Fang, Mengyuan Ma, Markku J. Juntti, Nir Shlezinger, A. Lee Swindlehurst, Nhan Thanh Nguyen
2025 J jnl
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning.
CoRR
Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025 J jnl
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning.
IEEE Trans. Signal Process.
Ori Peleg, Natalie Lang, Dan Ben Ami, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025 Misc conf
PAUSE: Privacy-Aware Active User Selection for Federated Learning.
ICASSP
Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025 Misc conf
Rapid Online Bayesian Learning for Deep Receivers.
ICASSP
Yakov Gusakov, Osvaldo Simeone, Tirza Routtenberg, Nir Shlezinger
2025 J jnl
Rapid Optimization of Superposition Codes for Multi-Hop NOMA MANETs via Deep Unfolding.
IEEE Trans. Commun.
Tomer Alter, Nir Shlezinger
2025 J jnl
Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming.
IEEE Trans. Commun.
Ohad Levy, Nir Shlezinger
2025 — conf
Remote DoA Estimation via Subspace-Oriented Deep-Learning-Aided Vector Quantization.
SPAWC
Raz Zohar, Shai Ginzach, Nir Shlezinger
2025 J jnl
Remote Inference Over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization.
IEEE Trans. Signal Process.
Eyal Fishel, May Malka, Shai Ginzach, Nir Shlezinger
2025 J jnl
Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization.
CoRR
Eyal Fishel, May Malka, Shai Ginzach, Nir Shlezinger
2025 — conf
Static and Dynamic Finite Constellation Decomposition for Wireless Physical Layer Security.
ICC Workshops
Eyyüp Tasçi, Arman Tan, Timur Zirtiloglu, Mutlu Koca, Nir Shlezinger, Rabia Tugce Yazicigil
2025 J jnl
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates.
IEEE Trans. Commun.
Natalie Lang, Alejandro Cohen, Nir Shlezinger
2025 J jnl
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.
IEEE Trans. Veh. Technol.
Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2025 J jnl
Uncertainty-Aware and Reliable Neural MIMO Receivers via Modular Bayesian Deep Learning.
IEEE Trans. Veh. Technol.
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
2025 J jnl
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers.
CoRR
Elad Sofer, Tomer Shaked, Caroline Chaux, Nir Shlezinger
2025 J jnl
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers.
IEEE Trans. Signal Process.
Elad Sofer, Tomer Shaked, Caroline Chaux, Nir Shlezinger
2024 J jnl
AI-Aided Kalman Filters.
CoRR
Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2024 Misc conf
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation.
ICASSP
Xiaoyong Ni, Guy Revach, Nir Shlezinger
2024 J jnl
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels.
IEEE Wirel. Commun.
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2024 J jnl
Artificial Intelligence-Empowered Hybrid Multiple-input/multiple-output Beamforming: Learning to Optimize for High-Throughput Scalable MIMO.
IEEE Veh. Technol. Mag.
Nir Shlezinger, Mengyuan Ma, Ortal Lavi, Nhan Thanh Nguyen, Yonina C. Eldar, Markku J. Juntti
2024 J jnl
Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers.
CoRR
Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros
2024 J jnl
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs.
CoRR
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2024 Misc conf
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders.
ICASSP
Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger
2024 — conf
Concept Drift Detection for Deep Learning Aided Receivers in Dynamic Channels.
SPAWC
Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros
2024 J jnl
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm.
IEEE Trans. Veh. Technol.
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun
2024 Misc conf
Data-Driven Lattices for Vector Quantization.
ICASSP
Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger
2024 A* conf
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces.
NeurIPS
Luis Cubillos, Guy Revach, Matthew Mender, Joseph T. Costello, Hisham Temmar, Aren Hite, Diksha Anoop Kumar Zutshi, Dylan Wallace, Xiaoyong Ni, Madison Kelberman, Matt S. Willsey, Ruud van Sloun, Nir Shlezinger, Parag G. Patil, Anne Draelos, Cynthia A. Chestek
2024 J jnl
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering.
IEEE Trans. Signal Process.
Itay Buchnik, Guy Sagi, Nimrod Leinwand, Yuval Loya, Nir Shlezinger, Tirza Routtenberg
2024 J jnl
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising.
IEEE Trans. Signal Process.
Guy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
2024 J jnl
Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications.
IEEE Veh. Technol. Mag.
George C. Alexandropoulos, Nir Shlezinger, Idban Alamzadeh, Mohammadreza F. Imani, Haiyang Zhang, Yonina C. Eldar
2024 J jnl
Information Compression in the AI Era: Recent Advances and Future Challenges.
CoRR
Jun Chen, Yong Fang, Ashish Khisti, Ayfer Özgür, Nir Shlezinger, Chao Tian
2024 J jnl
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding.
IEEE J. Sel. Top. Signal Process.
Nhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti
2024 J jnl
Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional Signals.
IEEE Trans. Signal Process.
Itay Buchnik, Guy Revach, Damiano Steger, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
2024 Misc conf
Leaky Waveguide Antennas for Downlink Wideband THz Communications.
ICASSP
Yaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar
2024 Misc conf
Learn to Track-Before-Detect via Neural Dynamic Programming.
ICASSP
Eyal Fishel Ben, Nikita Tsarov, Tslil Tapiro, Itay Nuri, Nir Shlezinger
2024 J jnl
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation.
CoRR
Itai Nuri, Nir Shlezinger
2024 J jnl
Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation.
CoRR
Tal Vol, Loai Danial, Nir Shlezinger
2024 J jnl
Modular Hypernetworks for Scalable and Adaptive Deep MIMO Receivers.
CoRR
Tomer Raviv, Nir Shlezinger
2024 — conf
Multi-Frequency Upper Mid-Band Localization.
SPAWC
Tomer Raviv, Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan, Nir Shlezinger
2024 J jnl
Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading.
IEEE Trans. Signal Process.
Amit Milstein, Guy Revach, Haoran Deng, Hai Morgenstern, Nir Shlezinger
2024 — conf
Neural Augmented Particle Filtering with Learning Flock of Particles.
SPAWC
Itai Nuri, Nir Shlezinger
2024 J jnl
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels.
IEEE Trans. Wirel. Commun.
Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne
2024 — conf
Optimization of Iterative Blind Detection Based on Expectation Maximization and Belief Propagation.
IEEECONF
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2024 J jnl
Optimization of Iterative Blind Detection based on Expectation Maximization and Belief Propagation.
CoRR
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
2024 Misc conf
Power-Aware Task-Based Learning of Neuromorphic ADCs.
ICASSP
Tal Vol, Loai Danial, Nir Shlezinger
2024 Misc conf
Rapid Hybrid Modular Receive Beamforming Via Learned Optimization.
ICASSP
Ohad Levy, Nir Shlezinger
2024 J jnl
Rapid Optimization of Superposition Codes for Multi-Hop NOMA MANETs via Deep Unfolding.
CoRR
Tomer Alter, Nir Shlezinger
2024 J jnl
Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming.
CoRR
Ohad Levy, Nir Shlezinger
2024 J jnl
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates.
CoRR
Natalie Lang, Alejandro Cohen, Nir Shlezinger
2024 Misc conf
Uncertainty Quantification in Deep Learning Based Kalman Filters.
ICASSP
Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger
2023 J jnl
6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing.
IEEE Commun. Mag.
Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Yonina C. Eldar
2023 J jnl
AI-Empowered Hybrid MIMO Beamforming.
CoRR
Nir Shlezinger, Mengyuan Ma, Ortal Lavi, Nhan Thanh Nguyen, Yonina C. Eldar, Markku J. Juntti
2023 J jnl
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels.
CoRR
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2023 J jnl
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.
IEEE Trans. Signal Process.
Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen
2023 Misc conf
CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks.
ICASSP
Natalie Lang, Elad Sofer, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
2023 J jnl
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders.
CoRR
Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger
2023 J jnl
Channel Estimation With Hybrid Reconfigurable Intelligent Metasurfaces.
IEEE Trans. Commun.
Haiyang Zhang, Nir Shlezinger, George C. Alexandropoulos, Avner Shultzman, Idban Alamzadeh, Mohammadreza F. Imani, Yonina C. Eldar
2023 J jnl
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks.
CoRR
Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
2023 J jnl
Data Augmentation for Deep Receivers.
IEEE Trans. Wirel. Commun.
Tomer Raviv, Nir Shlezinger
2023 Misc conf
Deep Root Music Algorithm for Data-Driven Doa Estimation.
ICASSP
Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2023 — conf
Deep Unfolded Superposition Coding Optimization for Two-Hop NOMA MANETs.
MILCOM
Tomer Alter, Nir Shlezinger
2023 J jnl
Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems.
CoRR
Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti
2023 J jnl
Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems.
IEEE Trans. Signal Process.
Nhan Thanh Nguyen, Mengyuan Ma, Ortal Lavi, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti
2023 Misc conf
Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems.
ICASSP
Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti
2023 J jnl
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes].
IEEE Signal Process. Mag.
Nir Shlezinger, Tirza Routtenberg
2023 Misc conf
Distributed Admm with Limited Communications Via Deep Unfolding.
ICASSP
Yoav Noah, Nir Shlezinger
2023 Misc conf
Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems.
ICASSP
Guy Sagi, Nir Shlezinger, Tirza Routtenberg
2023 Misc conf
Fast Deep Unfolded Hybrid Beamforming in Multiuser Large MIMO Systems.
ACSSC
Nhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, A. Lee Swindlehurst, Markku J. Juntti
2023 J jnl
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering.
CoRR
Itay Buchnik, Guy Sagi, Nimrod Leinwand, Yuval Loya, Nir Shlezinger, Tirza Routtenberg
2023 — conf
Generating Artistic Images Via Few-Shot Style Transfer.
ICASSP Workshops
Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger
2023 Misc conf
Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals.
CISS
Lital Dabush, Nir Shlezinger, Tirza Routtenberg
2023 Misc conf
Hierarchical Filtering With Online Learned Priors for ECG Denoising.
ICASSP
Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
2023 J jnl
Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing.
IEEE Signal Process. Mag.
Sundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu, George C. Alexandropoulos, Stefano Buzzi, Yonina C. Eldar
2023 — conf
Joint Communications and Sensing Design for Multi-Carrier MIMO Systems.
SSP
Nhan Thanh Nguyen, Nir Shlezinger, Khac-Hoang Ngo, Van-Dinh Nguyen, Markku J. Juntti
2023 J jnl
Joint Communications and Sensing Design for Multi-Carrier MIMO Systems.
CoRR
Nhan Thanh Nguyen, Nir Shlezinger, Khac-Hoang Ngo, Van-Dinh Nguyen, Markku J. Juntti
2023 J jnl
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding.
CoRR
Nhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti
2023 Misc conf
Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas.
ICASSP
Wei Huang, Haiyang Zhang, Nir Shlezinger, Yonina C. Eldar
2023 J jnl
Joint Privacy Enhancement and Quantization in Federated Learning.
IEEE Trans. Signal Process.
Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
2023 Misc conf
Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading.
ICASSP
Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger
2023 Misc conf
LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control.
ICASSP
Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger
2023 J jnl
Learn to Rapidly and Robustly Optimize Hybrid Precoding.
IEEE Trans. Commun.
Ortal Lavi, Nir Shlezinger
2023 Misc conf
Learned Kalman Filtering in Latent Space with High-Dimensional Data.
ICASSP
Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
2023 — conf
Learning Multi-Rate Vector Quantization for Remote Deep Inference.
ICASSP Workshops
May Malka, Shai Ginzach, Nir Shlezinger
2023 J jnl
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM.
CoRR
Yoav Noah, Nir Shlezinger
2023 J jnl
MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG Signals.
IEEE Access
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad
2023 J jnl
Model-Based Deep Learning.
Found. Trends Signal Process.
Nir Shlezinger, Yonina C. Eldar
2023 J jnl
Model-Based Deep Learning.
Proc. IEEE
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
2023 — conf
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers.
ICC Workshops
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
2023 J jnl
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers.
CoRR
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
2023 J jnl
Multiuser MIMO Wideband Joint Communications and Sensing System With Subcarrier Allocation.
IEEE Trans. Signal Process.
Nhan Thanh Nguyen, Nir Shlezinger, Yonina C. Eldar, Markku J. Juntti
2023 Misc conf
Near-field Localization with Dynamic Metasurface Antennas.
ICASSP
Qianyu Yang, Anna Guerra, Francesco Guidi, Nir Shlezinger, Haiyang Zhang, Davide Dardari, Baoyun Wang, Yonina C. Eldar
2023 — conf
On the Interpretable Adversarial Sensitivity of Iterative Optimizers.
MLSP
Elad Sofer, Nir Shlezinger
2023 J jnl
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels.
CoRR
Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne
2023 J jnl
Online Meta-Learning for Hybrid Model-Based Deep Receivers.
IEEE Trans. Wirel. Commun.
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2023 Misc conf
Outlier-Insensitive Kalman Filtering Using NUV Priors.
ICASSP
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
2023 J jnl
Outlier-Insensitive Kalman Filtering: Theory and Applications.
CoRR
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
2023 J jnl
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading.
IEEE Trans. Wirel. Commun.
Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne
2023 J jnl
RTSNet: Learning to Smooth in Partially Known State-Space Models.
IEEE Trans. Signal Process.
Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2023 J jnl
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for State Estimation.
IEEE Trans. Veh. Technol.
Geon Choi, Jeonghun Park, Nir Shlezinger, Yonina C. Eldar, Namyoon Lee
2023 J jnl
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.
CoRR
Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2023 — conf
Task-Specific Low-Power Beamforming MIMO Receiver Using 2-Bit Analog-to-Digital Converters.
A-SSCC
Timur Zirtiloglu, Peter Crary, Eyyup Tasci, Arslan Riaz, Yonina C. Eldar, Nir Shlezinger, Rabia Tugce Yazicigil
2023 J jnl
Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks.
IEEE Trans. Veh. Technol.
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2022 — conf
Adaptive Data Augmentation for Deep Receivers.
SPAWC
Tomer Raviv, Nir Shlezinger
2022 J jnl
Beam Focusing for Near-Field Multiuser MIMO Communications.
IEEE Trans. Wirel. Commun.
Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar
2022 Misc conf
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection.
ICASSP
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad
2022 J jnl
Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces.
CoRR
Haiyang Zhang, Nir Shlezinger, George C. Alexandropoulos, Idban Alamzadeh, Mohammadreza F. Imani, Yonina C. Eldar
2022 J jnl
Collaborative Inference for AI-Empowered IoT Devices.
IEEE Internet Things Mag.
Nir Shlezinger, Ivan V. Bajic
2022 B conf
Composite Anomaly Detection via Hierarchical Dynamic Search.
ISIT
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
2022 J jnl
Composite Anomaly Detection via Hierarchical Dynamic Search.
CoRR
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
2022 J jnl
Data Augmentation for Deep Receivers.
CoRR
Tomer Raviv, Nir Shlezinger
2022 J jnl
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge.
CoRR
May Malka, Erez Farhan, Hai Morgenstern, Nir Shlezinger
2022 Misc conf
Deep Augmented Music Algorithm for Data-Driven Doa Estimation.
ICASSP
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
2022 J jnl
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink.
CoRR
Thien Van Luong, Nir Shlezinger, Chao Xu, Tiep Minh Hoang, Yonina C. Eldar, Lajos Hanzo
2022 J jnl
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink.
IEEE Trans. Veh. Technol.
Thien Van Luong, Nir Shlezinger, Chao Xu, Tiep Minh Hoang, Yonina C. Eldar, Lajos Hanzo
2022 J jnl
Deep Task-Based Analog-to-Digital Conversion.
CoRR
Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar
2022 J jnl
Deep Task-Based Analog-to-Digital Conversion.
IEEE Trans. Signal Process.
Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar
2022 J jnl
Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks.
CoRR
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2022 Misc conf
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic Rich-Scattering Environments.
ICASSP
Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos
2022 J jnl
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments.
CoRR
Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos
2022 B conf
DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications.
ISIT
Alejandro Cohen, Amit Solomon, Nir Shlezinger
2022 J jnl
Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes].
CoRR
Nir Shlezinger, Tirza Routtenberg
2022 — conf
End-to-End Fading Channel Modeling for RIS-Empowered Smart Wireless Environments.
GLOBECOM (Workshops)
Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne
2022 J jnl
Federated Learning: A signal processing perspective.
IEEE Signal Process. Mag.
Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
2022 J jnl
Graph Signal Compression by Joint Quantization and Sampling.
IEEE Trans. Signal Process.
Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar
2022 B conf
Joint Privacy Enhancement and Quantization in Federated Learning.
ISIT
Natalie Lang, Nir Shlezinger
2022 J jnl
Joint Privacy Enhancement and Quantization in Federated Learning.
CoRR
Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
2022 J jnl
KALMANBOT: KalmanNet-Aided Bollinger Bands for Pairs Trading.
CoRR
Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger
2022 J jnl
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.
IEEE Trans. Signal Process.
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
2022 J jnl
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control.
CoRR
Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger
2022 — conf
Learn to Rapidly Optimize Hybrid Precoding.
SPAWC
Ortal Agiv, Nir Shlezinger
2022 J jnl
Learned Factor Graphs for Inference From Stationary Time Sequences.
IEEE Trans. Signal Process.
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
2022 J jnl
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization.
IEEE Access
Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd
2022 J jnl
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization.
CoRR
Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd
2022 J jnl
Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges.
IEEE Commun. Mag.
Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar
2022 — conf
Near-Field Wireless Power Transfer with Dynamic Metasurface Antennas.
SPAWC
Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar
2022 Misc conf
On the Acquisition of Stationary Signals Using Uniform ADCS.
ICASSP
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis
2022 J jnl
On the Acquisition of Stationary Signals Using Uniform ADCs.
CoRR
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis
2022 J jnl
Online Meta-Learning For Hybrid Model-Based Deep Receivers.
CoRR
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
2022 J jnl
Outlier-Insensitive Kalman Filtering Using NUV Priors.
CoRR
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
2022 — conf
Personalized Sleep State Classification via Learned Factor Graphs.
EUSIPCO
Bar Rubinstein, Yoav Filin, Nir Shlezinger, Nariman Farsad
2022 J jnl
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading.
CoRR
Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne
2022 Misc conf
Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs.
ICASSP
Timur Zirtiloglu, Nir Shlezinger, Yonina C. Eldar, Rabia Tugce Yazicigil
2022 Misc conf
RTSNet: Deep Learning Aided Kalman Smoothing.
ICASSP
Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2022 Misc conf
Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing.
ICASSP
Eyal Fishel Ben-Knaan, Yonina C. Eldar, Nir Shlezinger
2022 J jnl
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM.
CoRR
Geon Choi, Jeonghun Park, Nir Shlezinger, Yonina C. Eldar, Namyoon Lee
2022 Misc conf
Symbol-Level Online Channel Tracking for Deep Receivers.
ICASSP
Ron Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger
2022 Misc conf
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.
ICASSP
Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
2022 — conf
Unsupervised Learned Kalman Filtering.
EUSIPCO
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
2022 — conf
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization.
ICC Workshops
Konstantinos D. Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos
2022 J jnl
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization.
CoRR
Konstantinos Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos
2021 — conf
A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation.
ACSCC
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar
2021 Misc conf
Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas.
ICASSP
Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar
2021 J jnl
BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization.
IEEE Trans. Signal Process.
Feng Xi, Nir Shlezinger, Yonina C. Eldar
2021 Misc conf
Bit Constrained Communication Receivers In Joint Radar Communications Systems.
ICASSP
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar
2021 — conf
Channel Estimation with Simultaneous Reflecting and Sensing Reconfigurable Intelligent Metasurfaces.
SPAWC
Haiyang Zhang, Nir Shlezinger, Idban Alamzadeh, George C. Alexandropoulos, Mohammadreza F. Imani, Yonina C. Eldar
2021 Misc conf
Collaborative Inference via Ensembles on the Edge.
ICASSP
Nir Shlezinger, Erez Farhan, Hai Morgenstern, Yonina C. Eldar
2021 — conf
Data-Driven Symbol Detection Via Model-Based Machine Learning.
SSP
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar
2021 J jnl
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation.
CoRR
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
2021 J jnl
Deep Task-Based Quantization.
Entropy
Nir Shlezinger, Yonina C. Eldar
2021 J jnl
DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications.
CoRR
Alejandro Cohen, Amit Solomon, Nir Shlezinger
2021 J jnl
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection.
IEEE Trans. Wirel. Commun.
Nir Shlezinger, Rong Fu, Yonina C. Eldar
2021 J jnl
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications.
IEEE Wirel. Commun.
Nir Shlezinger, George C. Alexandropoulos, Mohammadreza F. Imani, Yonina C. Eldar, David R. Smith
2021 J jnl
Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs.
IEEE Trans. Commun.
Hanqing Wang, Nir Shlezinger, Yonina C. Eldar, Shi Jin, Mohammadreza F. Imani, Insang Yoo, David R. Smith
2021 — conf
Efficient Epileptic Seizure Detection Using CNN-Aided Factor Graphs.
EMBC
Bahareh Salafian, Eyal Fishel Ben, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad
2021 J jnl
FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation.
IEEE J. Sel. Top. Signal Process.
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar
2021 J jnl
Federated Learning: A Signal Processing Perspective.
CoRR
Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
2021 — conf
Fedrec: Federated Learning of Universal Receivers Over Fading Channels.
SSP
Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar, Deniz Gündüz
2021 Misc conf
Graph Signal Compression via Task-Based Quantization.
ICASSP
Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar
2021 Misc conf
Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs.
ICASSP
Feng Xi, Nir Shlezinger, Yonina C. Eldar
2021 J jnl
Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications.
CoRR
George C. Alexandropoulos, Nir Shlezinger, Idban Alamzadeh, Mohammadreza F. Imani, Haiyang Zhang, Yonina C. Eldar
2021 — conf
Joint Resource Management and Model Compression for Wireless Federated Learning.
ICC
Mingzhe Chen, Nir Shlezinger, H. Vincent Poor, Yonina C. Eldar, Shuguang Cui
2021 — conf
Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems.
ACSCC
Liuhang Wang, Nir Shlezinger, George C. Alexandropoulos, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar
2021 J jnl
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.
CoRR
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
2021 Misc conf
Kalmannet: Data-Driven Kalman Filtering.
ICASSP
Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2021 J jnl
LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers.
IEEE Trans. Signal Process.
Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar
2021 J jnl
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers.
CoRR
Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar
2021 — conf
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels.
ICC Workshops
Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang
2021 J jnl
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels.
CoRR
Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang
2021 J jnl
Model-Based Machine Learning for Communications.
CoRR
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
2021 B conf
Model-Inspired Deep Detection with Low-Resolution Receivers.
ISIT
Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar
2021 Misc conf
Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests.
ICASSP
Alejandro Cohen, Nir Shlezinger, Amit Solomon, Yonina C. Eldar, Muriel Médard
2021 J jnl
Over-the-Air Federated Learning From Heterogeneous Data.
IEEE Trans. Signal Process.
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
2021 J jnl
Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities.
IEEE Commun. Mag.
George C. Alexandropoulos, Nir Shlezinger, Philipp del Hougne
2021 J jnl
Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities.
CoRR
George C. Alexandropoulos, Nir Shlezinger, Philipp del Hougne
2021 J jnl
Serial Quantization for Sparse Time Sequences.
IEEE Trans. Signal Process.
Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard
2021 J jnl
Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype.
IEEE Trans. Veh. Technol.
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar
2021 — conf
Task-Based Analog-to-Digital Converters for Bandlimited Systems.
EUSIPCO
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis
2021 J jnl
Task-Based Analog-to-Digital Converters.
IEEE Trans. Signal Process.
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis
2021 J jnl
UVeQFed: Universal Vector Quantization for Federated Learning.
IEEE Trans. Signal Process.
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui
2021 J jnl
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.
CoRR
Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
2021 J jnl
Unsupervised Learned Kalman Filtering.
CoRR
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
2020 J jnl
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint.
IEEE Trans. Signal Process.
Mingjin Wang, Feifei Gao, Nir Shlezinger, Mark F. Flanagan, Yonina C. Eldar
2020 — conf
A DFRC System Based on Multi-Carrier Agile FMCW MIMO Radar for Vehicular Applications.
ICC Workshops
Dingyou Ma, Tianyao Huang, Nir Shlezinger, Yimin Liu, Xiqin Wang, Yonina C. Eldar
2020 — conf
Automotive Dual-Function Radar Communications Systems: An Overview.
SAM
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar
2020 B conf
COTAF: Convergent Over-the-Air Federated Learning.
GLOBECOM
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
2020 Misc conf
Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems.
ICASSP
Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar
2020 B conf
Data-Driven Factor Graphs for Deep Symbol Detection.
ISIT
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
2020 J jnl
Data-Driven Factor Graphs for Deep Symbol Detection.
CoRR
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
2020 J jnl
Data-Driven Symbol Detection via Model-Based Machine Learning.
CoRR
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar
2020 J jnl
Data-driven symbol detection via model-based machine learning.
Commun. Inf. Syst.
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar
2020 Misc conf
Deep Soft Interference Cancellation for MIMO Detection.
ICASSP
Nir Shlezinger, Rong Fu, Yonina C. Eldar
2020 J jnl
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection.
CoRR
Nir Shlezinger, Rong Fu, Yonina C. Eldar
2020 Misc conf
Distributed Quantization for Sparse Time Sequences.
ICASSP
Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard
2020 J jnl
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications.
CoRR
Nir Shlezinger, George C. Alexandropoulos, Mohammadreza F. Imani, Yonina C. Eldar, David R. Smith
2020 Misc conf
Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers.
ICASSP
Hanqing Wang, Nir Shlezinger, Shi Jin, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith
2020 — conf
Energy Harvesting via Analog-to-Digital Conversion.
EUSIPCO
Neha Jain, Nir Shlezinger, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara
2020 J jnl
FedRec: Federated Learning of Universal Receivers over Fading Channels.
CoRR
Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar, Deniz Gündüz
2020 Misc conf
Federated Learning with Quantization Constraints.
ICASSP
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui
2020 J jnl
Inference from Stationary Time Sequences via Learned Factor Graphs.
CoRR
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
2020 J jnl
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies.
IEEE Signal Process. Mag.
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar
2020 J jnl
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar.
IEEE Trans. Signal Process.
Xiang Liu, Tianyao Huang, Nir Shlezinger, Yimin Liu, Jie Zhou, Yonina C. Eldar
2020 Misc conf
Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers.
ICASSP
Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar
2020 J jnl
MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation.
IEEE Trans. Signal Process.
Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar
2020 J jnl
Model-Based Deep Learning.
CoRR
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
2020 J jnl
Multi-Carrier Agile Phased Array Radar.
IEEE Trans. Signal Process.
Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar
2020 J jnl
On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes.
Entropy
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2020 J jnl
Over-the-Air Federated Learning from Heterogeneous Data.
CoRR
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar
2020 J jnl
RF Chain Reduction for MIMO Systems: A Hardware Prototype.
IEEE Syst. J.
Tierui Gong, Nir Shlezinger, Shahar Stein Ioushua, Moshe Namer, Zhijia Yang, Yonina C. Eldar
2020 J jnl
Task-Based Analog-to-Digital Converters.
CoRR
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis
2020 J jnl
Task-Based Quantization with Application to MIMO Receivers.
CoRR
Nir Shlezinger, Yonina C. Eldar
2020 J jnl
Task-based quantization with application to MIMO receivers.
Commun. Inf. Syst.
Nir Shlezinger, Yonina C. Eldar
2020 J jnl
The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise.
IEEE Trans. Commun.
Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar
2020 B conf
The Communication-Aware Clustered Federated Learning Problem.
ISIT
Nir Shlezinger, Stefano Rini, Yonina C. Eldar
2020 J jnl
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes.
CoRR
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2020 Misc conf
Theoretical Analysis of Multi-Carrier Agile Phased Array Radar.
ICASSP
Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar
2020 J jnl
UVeQFed: Universal Vector Quantization for Federated Learning.
CoRR
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui
2020 J jnl
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection.
IEEE Trans. Wirel. Commun.
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
2020 J jnl
eSampling: Energy Harvesting ADCs.
CoRR
Neha Jain, Nir Shlezinger, Bhawna Tiwari, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara, Pydi Ganga Bahubalindruni
2019 J jnl
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint.
CoRR
Mingjin Wang, Feifei Gao, Mark F. Flanagan, Nir Shlezinger, Yonina C. Eldar
2019 — conf
A Dual-Function Radar Communication System Using Index Modulation.
SPAWC
Tianyao Huang, Xingyu Xu, Yimin Liu, Nir Shlezinger, Yonina C. Eldar
2019 J jnl
Asymptotic Task-Based Quantization With Application to Massive MIMO.
IEEE Trans. Signal Process.
Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2019 B conf
Deep Neural Network Symbol Detection for Millimeter Wave Communications.
GLOBECOM
Yun Liao, Nariman Farsad, Nir Shlezinger, Yonina C. Eldar, Andrea J. Goldsmith
2019 J jnl
Deep Neural Network Symbol Detection for Millimeter Wave Communications.
CoRR
Yun Liao, Nariman Farsad, Nir Shlezinger, Yonina C. Eldar, Andrea J. Goldsmith
2019 Misc conf
Deep Quantization for MIMO Channel Estimation.
ICASSP
Matan Shohat, Georgee Tsintsadze, Nir Shlezinger, Yonina C. Eldar
2019 J jnl
Deep Task-Based Quantization.
CoRR
Nir Shlezinger, Yonina C. Eldar
2019 J jnl
Distributed Quantization for Sparse Time Sequences.
CoRR
Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard
2019 — conf
Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems.
SPAWC
Hanqing Wang, Nir Shlezinger, Shi Jin, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith
2019 J jnl
Dynamic Metasurface Antennas for MIMO-OFDM Receivers with Bit-Limited ADCs.
CoRR
Hanqing Wang, Nir Shlezinger, Yonina C. Eldar, Shi Jin, Mohammadreza F. Imani, Insang Yoo, David R. Smith
2019 J jnl
Dynamic Metasurface Antennas for Uplink Massive MIMO Systems.
CoRR
Nir Shlezinger, Or Dicker, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith
2019 J jnl
Dynamic Metasurface Antennas for Uplink Massive MIMO Systems.
IEEE Trans. Commun.
Nir Shlezinger, Or Dicker, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith
2019 Misc conf
Dynamic Metasurfaces for Massive MIMO Networks.
ICASSP
Nir Shlezinger, Or Dicker, Yonina C. Eldar, Mohammadreza F. Imani, David R. Smith
2019 — conf
Hardware-Limited Task-Based Quantization.
SPAWC
Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2019 J jnl
Hardware-Limited Task-Based Quantization.
IEEE Trans. Signal Process.
Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2019 J jnl
Joint Radar-Communications Strategies for Autonomous Vehicles.
CoRR
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar
2019 B conf
Joint Sampling and Recovery of Correlated Sources.
ISIT
Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard
2019 J jnl
MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation.
CoRR
Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar
2019 J jnl
Multi-Carrier Agile Phased Array Radar.
CoRR
Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar
2019 B conf
On the Capacity of Sampled Interference-Limited Communications Channels.
ISIT
Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar
2019 J jnl
On the Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems.
IEEE Trans. Commun.
Nir Shlezinger, Yonina C. Eldar
2019 J jnl
Performance analysis of LMS filters with non-Gaussian cyclostationary signals.
Signal Process.
Nir Shlezinger, Koby Todros
2019 J jnl
RF Chain Reduction for MIMO Systems: A Hardware Prototype.
CoRR
Tierui Gong, Nir Shlezinger, Shahar Stein Ioushua, Moshe Namer, Zhijia Yang, Yonina C. Eldar
2019 — conf
Serial Quantization for Representing Sparse Signals.
Allerton
Alejandro Cohen, Nir Shlezinger, Yonina C. Eldar, Muriel Médard
2019 J jnl
Serial Quantization for Representing Sparse Signals.
CoRR
Alejandro Cohen, Nir Shlezinger, Yonina C. Eldar, Muriel Médard
2019 Misc conf
Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems with Joint Decoding.
ICASSP
Nir Shlezinger, Yonina C. Eldar
2019 Misc conf
Task-Based Quantization for Massive MIMO Channel Estimation.
ICASSP
Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2019 B conf
Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components.
ISIT
Salman Salamatian, Nir Shlezinger, Yonina C. Eldar, Muriel Médard
2019 J jnl
The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise.
CoRR
Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar
2019 J jnl
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection.
CoRR
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
2019 — conf
ViterbiNet: Symbol Detection Using a Deep Learning Based Viterbi Algorithm.
SPAWC
Nir Shlezinger, Yonina C. Eldar, Nariman Farsad, Andrea J. Goldsmith
2018 B conf
Bounds on the Capacity of MIMO Broadband Power Line Communications Channels.
ISIT
Nir Shlezinger, Roee Shaked, Ron Dabora
2018 J jnl
Correction to "On the Capacity of Narrowband PLC Channels".
IEEE Trans. Commun.
Nir Shlezinger, Ron Dabora
2018 J jnl
Hardware-Limited Task-Based Quantization.
CoRR
Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2018 J jnl
Joint Estimation of Carrier Frequency Offset and Channel Impulse Response for Linear Periodic Channels.
IEEE Trans. Commun.
Roee Shaked, Nir Shlezinger, Ron Dabora
2018 J jnl
Measurement Matrix Design for Phase Retrieval Based on Mutual Information.
IEEE Trans. Signal Process.
Nir Shlezinger, Ron Dabora, Yonina C. Eldar
2018 J jnl
On the Capacity of MIMO Broadband Power Line Communications Channels.
CoRR
Nir Shlezinger, Roee Shaked, Ron Dabora
2018 J jnl
On the Capacity of MIMO Broadband Power Line Communications Channels.
IEEE Trans. Commun.
Nir Shlezinger, Roee Shaked, Ron Dabora
2018 J jnl
On the Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems.
CoRR
Nir Shlezinger, Yonina C. Eldar
2017 J jnl
Adaptive Filtering Based on Time-Averaged MSE for Cyclostationary Signals.
IEEE Trans. Commun.
Nir Shlezinger, Koby Todros, Ron Dabora
2017 — conf
Joint carrier frequency offset and channel impulse response estimation for linear periodic channels.
EUSIPCO
Roee Shaked, Nir Shlezinger, Ron Dabora
2017 J jnl
Measurement Matrix Design for Phase Retrieval Based on Mutual Information.
CoRR
Nir Shlezinger, Ron Dabora, Yonina C. Eldar
2017 J jnl
Performance Analysis of LMS Filters for Estimation of Cyclostationary Signals.
CoRR
Nir Shlezinger, Koby Todros
2017 J jnl
The Secrecy Capacity of Gaussian MIMO Channels With Finite Memory.
IEEE Trans. Inf. Theory
Nir Shlezinger, Daniel Zahavi, Yonathan Murin, Ron Dabora
2017 J jnl
The Secrecy Capacity of Gaussian MIMO Channels with Finite Memory - Full Version.
CoRR
Nir Shlezinger, Daniel Zahavi, Yonathan Murin, Ron Dabora
2017 B conf
Using mutual information for designing the measurement matrix in phase retrieval problems.
ISIT
Nir Shlezinger, Ron Dabora, Yonina C. Eldar
2016 — conf
Adaptive LMS-type filter for cyclostationary signals.
ISWCS
Nir Shlezinger, Koby Todros, Ron Dabora
2016 — conf
Carrier frequency offset estimation for linear channels with periodic characteristics.
SPAWC
Roee Shaked, Nir Shlezinger, Ron Dabora
2016 B conf
The capacity of discrete-time Gaussian MIMO channels with periodic characteristics.
ISIT
Nir Shlezinger, Ron Dabora
2015 J jnl
On the Capacity of Narrowband PLC Channels.
CoRR
Nir Shlezinger, Ron Dabora
2015 J jnl
On the Capacity of Narrowband PLC Channels.
IEEE Trans. Commun.
Nir Shlezinger, Ron Dabora
2015 — conf
On the derivation of the capacity of discrete-time narrowband PLC channels.
ICC
Nir Shlezinger, Ron Dabora
2015 B conf
The secrecy capacity of MIMO Gaussian channels with finite memory.
ISIT
Nir Shlezinger, Daniel Zahavi, Yonathan Murin, Ron Dabora
2014 J jnl
Frequency-Shift Filtering for OFDM Signal Recovery in Narrowband Power Line Communications.
CoRR
Nir Shlezinger, Ron Dabora
2014 J jnl
Frequency-Shift Filtering for OFDM Signal Recovery in Narrowband Power Line Communications.
IEEE Trans. Commun.
Nir Shlezinger, Ron Dabora
2014 Misc conf
Frequency-shift filtering for OFDM recovery in narrowband power line communications.
ICASSP
Nir Shlezinger, Ron Dabora