Nir Shlezinger

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 246

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

ISIT

Publications

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) (2024)
Nicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros
Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers. CoRR (2024)
Jun Chen, Yong Fang, Ashish Khisti, Ayfer Özgür, Nir Shlezinger, Chao Tian
Information Compression in the AI Era: Recent Advances and Future Challenges. CoRR (2024)
Ohad Levy, Nir Shlezinger
Rapid Hybrid Modular Receive Beamforming Via Learned Optimization. ICASSP (2024)
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) (2024)
Yaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar
Leaky Waveguide Antennas for Downlink Wideband THz Communications. ICASSP (2024)
Eyal Fishel Ben, Nikita Tsarov, Tslil Tapiro, Itay Nuri, Nir Shlezinger
Learn to Track-Before-Detect via Neural Dynamic Programming. ICASSP (2024)
Natalie Lang, Alejandro Cohen, Nir Shlezinger
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates. CoRR (2024)
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) (2024)
Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger
Uncertainty Quantification in Deep Learning Based Kalman Filters. ICASSP (2024)
Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. ICASSP (2024)
Tal Vol, Loai Danial, Nir Shlezinger
Power-Aware Task-Based Learning of Neuromorphic ADCs. ICASSP (2024)
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) (2024)
Xiaoyong Ni, Guy Revach, Nir Shlezinger
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation. ICASSP (2024)
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 (2024)
Tomer Alter, Nir Shlezinger
Rapid Optimization of Superposition Codes for Multi-Hop NOMA MANETs via Deep Unfolding. CoRR (2024)
Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs. CoRR (2024)
Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger
Data-Driven Lattices for Vector Quantization. ICASSP (2024)
Guy Sagi, Nir Shlezinger, Tirza Routtenberg
Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems. ICASSP (2023)
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 (2023)
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) (2023)
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
Outlier-Insensitive Kalman Filtering: Theory and Applications. CoRR (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops (2023)
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)
Nir Shlezinger, Tirza Routtenberg
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]. IEEE Signal Process. Mag. 40 (6) (2023)
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 (2023)
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)
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
Model-Based Deep Learning. Proc. IEEE 111 (5) (2023)
Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger
LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. ICASSP (2023)
Yoav Noah, Nir Shlezinger
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM. CoRR (2023)
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)
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 (2023)
Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger
Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading. ICASSP (2023)
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 (2023)
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
Outlier-Insensitive Kalman Filtering Using NUV Priors. ICASSP (2023)
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) (2023)
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)
Yoav Amiel, Dor H. Shmuel, Nir Shlezinger, Wasim Huleihel
Deep Learning-Aided Subspace-Based DOA Recovery for Sparse Arrays. CoRR (2023)
Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. CoRR (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR (2023)
Tomer Alter, Nir Shlezinger
Deep Unfolded Superposition Coding Optimization for Two-Hop NOMA MANETs. MILCOM (2023)
Lital Dabush, Nir Shlezinger, Tirza Routtenberg
Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals. CISS (2023)
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 (2023)
Itay Buchnik, Guy Sagi, Nimrod Leinwand, Yuval Loya, Nir Shlezinger, Tirza Routtenberg
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering. CoRR (2023)
Yoav Noah, Nir Shlezinger
Distributed Admm with Limited Communications Via Deep Unfolding. ICASSP (2023)
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)
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 (2023)
Wei Huang, Haiyang Zhang, Nir Shlezinger, Yonina C. Eldar
Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas. ICASSP (2023)
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 (2023)
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) (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR (2023)
May Malka, Shai Ginzach, Nir Shlezinger
Learning Multi-Rate Vector Quantization for Remote Deep Inference. ICASSP Workshops (2023)
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) (2023)
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 (2023)
Nhan Thanh Nguyen, Ly V. Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding. CoRR (2023)
Ortal Lavi, Nir Shlezinger
Learn to Rapidly and Robustly Optimize Hybrid Precoding. IEEE Trans. Commun. 71 (10) (2023)
Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
Joint Privacy Enhancement and Quantization in Federated Learning. IEEE Trans. Signal Process. 71 (2023)
Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger
Generating Artistic Images Via Few-Shot Style Transfer. ICASSP Workshops (2023)
Elad Sofer, Nir Shlezinger
On the Interpretable Adversarial Sensitivity of Iterative Optimizers. MLSP (2023)
Nir Shlezinger, Mengyuan Ma, Ortal Lavi, Nhan Thanh Nguyen, Yonina C. Eldar, Markku J. Juntti
AI-Empowered Hybrid MIMO Beamforming. CoRR (2023)
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)
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) (2023)
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)
Nir Shlezinger, Yonina C. Eldar
Model-Based Deep Learning. Found. Trends Signal Process. 17 (4) (2023)
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 (2023)
Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
Hierarchical Filtering With Online Learned Priors for ECG Denoising. ICASSP (2023)
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)
Tomer Raviv, Nir Shlezinger
Data Augmentation for Deep Receivers. IEEE Trans. Wirel. Commun. 22 (11) (2023)
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) (2023)
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 (2023)
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks. IEEE Trans. Veh. Technol. 72 (9) (2023)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
Learned Factor Graphs for Inference From Stationary Time Sequences. IEEE Trans. Signal Process. 70 (2022)
Nir Shlezinger, Tirza Routtenberg
Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes]. CoRR (2022)
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 (2022)
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT (2022)
Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments. CoRR (2022)
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) (2022)
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)
Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. CoRR (2022)
May Malka, Erez Farhan, Hai Morgenstern, Nir Shlezinger
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge. CoRR (2022)
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)
Haiyang Zhang, Nir Shlezinger, George C. Alexandropoulos, Idban Alamzadeh, Mohammadreza F. Imani, Yonina C. Eldar
Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces. CoRR (2022)
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis
On the Acquisition of Stationary Signals Using Uniform ADCs. CoRR (2022)
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
Composite Anomaly Detection via Hierarchical Dynamic Search. CoRR (2022)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP (2022)
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) (2022)
Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP (2022)
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)
Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis
On the Acquisition of Stationary Signals Using Uniform ADCS. ICASSP (2022)
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 (2022)
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)
Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor
Federated Learning: A signal processing perspective. IEEE Signal Process. Mag. 39 (3) (2022)
Geon Choi, Jeonghun Park, Nir Shlezinger, Yonina C. Eldar, Namyoon Lee
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM. CoRR (2022)
Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar
Deep Task-Based Analog-to-Digital Conversion. CoRR (2022)
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 (2022)
Nir Shlezinger, Ivan V. Bajic
Collaborative Inference for AI-Empowered IoT Devices. IEEE Internet Things Mag. 5 (4) (2022)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
Online Meta-Learning For Hybrid Model-Based Deep Receivers. CoRR (2022)
Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. IEEE Access 10 (2022)
Natalie Lang, Nir Shlezinger
Joint Privacy Enhancement and Quantization in Federated Learning. ISIT (2022)
Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
Joint Privacy Enhancement and Quantization in Federated Learning. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nir Shlezinger