Frequency-shift filtering for OFDM recovery in narrowband power line communications. - Nir Shlezinger; Ron Dabora (ICASSP, 2014)

Frequency-Shift Filtering for OFDM Signal Recovery in Narrowband Power Line Communications. - Nir Shlezinger; Ron Dabora (IEEE Trans. Commun., 2014)

On the derivation of the capacity of discrete-time narrowband PLC channels. - Nir Shlezinger; Ron Dabora (ICC, 2015)

The secrecy capacity of MIMO Gaussian channels with finite memory. - Nir Shlezinger; Daniel Zahavi; Yonathan Murin; Ron Dabora (ISIT, 2015)

On the Capacity of Narrowband PLC Channels. - Nir Shlezinger; Ron Dabora (IEEE Trans. Commun., 2015)

The capacity of discrete-time Gaussian MIMO channels with periodic characteristics. - Nir Shlezinger; Ron Dabora (ISIT, 2016)

Adaptive LMS-type filter for cyclostationary signals. - Nir Shlezinger; Koby Todros; Ron Dabora (ISWCS, 2016)

Carrier frequency offset estimation for linear channels with periodic characteristics. - Roee Shaked; Nir Shlezinger; Ron Dabora (SPAWC, 2016)

Joint carrier frequency offset and channel impulse response estimation for linear periodic channels. - Roee Shaked; Nir Shlezinger; Ron Dabora (EUSIPCO, 2017)

Using mutual information for designing the measurement matrix in phase retrieval problems. - Nir Shlezinger; Ron Dabora; Yonina C. Eldar (ISIT, 2017)

The Secrecy Capacity of Gaussian MIMO Channels with Finite Memory - Full Version. - Nir Shlezinger; Daniel Zahavi; Yonathan Murin; Ron Dabora (CoRR, 2017)

Performance Analysis of LMS Filters for Estimation of Cyclostationary Signals. - Nir Shlezinger; Koby Todros (CoRR, 2017)

Adaptive Filtering Based on Time-Averaged MSE for Cyclostationary Signals. - Nir Shlezinger; Koby Todros; Ron Dabora (IEEE Trans. Commun., 2017)

The Secrecy Capacity of Gaussian MIMO Channels With Finite Memory. - Nir Shlezinger; Daniel Zahavi; Yonathan Murin; Ron Dabora (IEEE Trans. Inf. Theory, 2017)

Bounds on the Capacity of MIMO Broadband Power Line Communications Channels. - Nir Shlezinger; Roee Shaked; Ron Dabora (ISIT, 2018)

Joint Estimation of Carrier Frequency Offset and Channel Impulse Response for Linear Periodic Channels. - Roee Shaked; Nir Shlezinger; Ron Dabora (IEEE Trans. Commun., 2018)

Correction to "On the Capacity of Narrowband PLC Channels". - Nir Shlezinger; Ron Dabora (IEEE Trans. Commun., 2018)

On the Capacity of MIMO Broadband Power Line Communications Channels. - Nir Shlezinger; Roee Shaked; Ron Dabora (IEEE Trans. Commun., 2018)

Measurement Matrix Design for Phase Retrieval Based on Mutual Information. - Nir Shlezinger; Ron Dabora; Yonina C. Eldar (IEEE Trans. Signal Process., 2018)

Serial Quantization for Representing Sparse Signals. - Alejandro Cohen; Nir Shlezinger; Yonina C. Eldar; Muriel Médard (Allerton, 2019)

Deep Neural Network Symbol Detection for Millimeter Wave Communications. - Yun Liao; Nariman Farsad; Nir Shlezinger; Yonina C. Eldar; Andrea J. Goldsmith (GLOBECOM, 2019)

Dynamic Metasurfaces for Massive MIMO Networks. - Nir Shlezinger; Or Dicker; Yonina C. Eldar; Mohammadreza F. Imani; David R. Smith (ICASSP, 2019)

Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems with Joint Decoding. - Nir Shlezinger; Yonina C. Eldar (ICASSP, 2019)

Task-Based Quantization for Massive MIMO Channel Estimation. - Nir Shlezinger; Yonina C. Eldar; Miguel R. D. Rodrigues (ICASSP, 2019)

Deep Quantization for MIMO Channel Estimation. - Matan Shohat; Georgee Tsintsadze; Nir Shlezinger; Yonina C. Eldar (ICASSP, 2019)

Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components. - Salman Salamatian; Nir Shlezinger; Yonina C. Eldar; Muriel Médard (ISIT, 2019)

On the Capacity of Sampled Interference-Limited Communications Channels. - Nir Shlezinger; Emeka Abakasanga; Ron Dabora; Yonina C. Eldar (ISIT, 2019)

Joint Sampling and Recovery of Correlated Sources. - Nir Shlezinger; Salman Salamatian; Yonina C. Eldar; Muriel Médard (ISIT, 2019)

A Dual-Function Radar Communication System Using Index Modulation. - Tianyao Huang; Xingyu Xu 001; Yimin Liu; Nir Shlezinger; Yonina C. Eldar (SPAWC, 2019)

ViterbiNet: Symbol Detection Using a Deep Learning Based Viterbi Algorithm. - Nir Shlezinger; Yonina C. Eldar; Nariman Farsad; Andrea J. Goldsmith (SPAWC, 2019)

Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems. - Hanqing Wang 002; Nir Shlezinger; Shi Jin 002; Yonina C. Eldar; Insang Yoo; Mohammadreza F. Imani; David R. Smith (SPAWC, 2019)

Joint Radar-Communications Strategies for Autonomous Vehicles. - Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yimin Liu; Yonina C. Eldar (CoRR, 2019)

Performance analysis of LMS filters with non-Gaussian cyclostationary signals. - Nir Shlezinger; Koby Todros (Signal Process., 2019)

Dynamic Metasurface Antennas for Uplink Massive MIMO Systems. - Nir Shlezinger; Or Dicker; Yonina C. Eldar; Insang Yoo; Mohammadreza F. Imani; David R. Smith (IEEE Trans. Commun., 2019)

On the Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems. - Nir Shlezinger; Yonina C. Eldar (IEEE Trans. Commun., 2019)

Asymptotic Task-Based Quantization With Application to Massive MIMO. - Nir Shlezinger; Yonina C. Eldar; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2019)

Hardware-Limited Task-Based Quantization. - Nir Shlezinger; Yonina C. Eldar; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2019)

Energy Harvesting via Analog-to-Digital Conversion. - Neha Jain 002; Nir Shlezinger; Yonina C. Eldar; Anubha Gupta; Vivek Ashok Bohara (EUSIPCO, 2020)

COTAF: Convergent Over-the-Air Federated Learning. - Tomer Sery; Nir Shlezinger; Kobi Cohen; Yonina C. Eldar (GLOBECOM, 2020)

Distributed Quantization for Sparse Time Sequences. - Alejandro Cohen; Nir Shlezinger; Salman Salamatian; Yonina C. Eldar; Muriel Médard (ICASSP, 2020)

Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems. - Tianyao Huang; Nir Shlezinger; Xingyu Xu 001; Yimin Liu; Yonina C. Eldar (ICASSP, 2020)

Theoretical Analysis of Multi-Carrier Agile Phased Array Radar. - Tianyao Huang; Nir Shlezinger; Xingyu Xu 001; Dingyou Ma; Yimin Liu; Yonina C. Eldar (ICASSP, 2020)

Federated Learning with Quantization Constraints. - Nir Shlezinger; Mingzhe Chen; Yonina C. Eldar; H. Vincent Poor; Shuguang Cui (ICASSP, 2020)

Deep Soft Interference Cancellation for MIMO Detection. - Nir Shlezinger; Rong Fu; Yonina C. Eldar (ICASSP, 2020)

Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers. - Nir Shlezinger; Ruud J. G. van Sloun; Iris A. M. Huijben; Georgee Tsintsadze; Yonina C. Eldar (ICASSP, 2020)

Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers. - Hanqing Wang 002; Nir Shlezinger; Shi Jin 002; Yonina C. Eldar; Insang Yoo; Mohammadreza F. Imani; David R. Smith (ICASSP, 2020)

A DFRC System Based on Multi-Carrier Agile FMCW MIMO Radar for Vehicular Applications. - Dingyou Ma; Tianyao Huang; Nir Shlezinger; Yimin Liu; Xiqin Wang; Yonina C. Eldar (ICC Workshops, 2020)

Automotive Dual-Function Radar Communications Systems: An Overview. - Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yimin Liu; Yonina C. Eldar (SAM, 2020)

Data-Driven Factor Graphs for Deep Symbol Detection. - Nir Shlezinger; Nariman Farsad; Yonina C. Eldar; Andrea J. Goldsmith (ISIT, 2020)

The Communication-Aware Clustered Federated Learning Problem. - Nir Shlezinger; Stefano Rini; Yonina C. Eldar (ISIT, 2020)

Data-driven symbol detection via model-based machine learning. - Nariman Farsad; Nir Shlezinger; Andrea J. Goldsmith; Yonina C. Eldar (Commun. Inf. Syst., 2020)

Task-based quantization with application to MIMO receivers. - Nir Shlezinger; Yonina C. Eldar (Commun. Inf. Syst., 2020)

The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes. - Emeka Abakasanga; Nir Shlezinger; Ron Dabora (CoRR, 2020)

Inference from Stationary Time Sequences via Learned Factor Graphs. - Nir Shlezinger; Nariman Farsad; Yonina C. Eldar; Andrea J. Goldsmith (CoRR, 2020)

eSampling: Energy Harvesting ADCs. - Neha Jain 002; Nir Shlezinger; Bhawna Tiwari; Yonina C. Eldar; Anubha Gupta; Vivek Ashok Bohara; Pydi Ganga Bahubalindruni (CoRR, 2020)

On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes. - Emeka Abakasanga; Nir Shlezinger; Ron Dabora (Entropy, 2020)

RF Chain Reduction for MIMO Systems: A Hardware Prototype. - Tierui Gong; Nir Shlezinger; Shahar Stein Ioushua; Moshe Namer; Zhijia Yang; Yonina C. Eldar (IEEE Syst. J., 2020)

Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies. - Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yimin Liu; Yonina C. Eldar (IEEE Signal Process. Mag., 2020)

The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise. - Nir Shlezinger; Emeka Abakasanga; Ron Dabora; Yonina C. Eldar (IEEE Trans. Commun., 2020)

MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation. - Tianyao Huang; Nir Shlezinger; Xingyu Xu 001; Yimin Liu; Yonina C. Eldar (IEEE Trans. Signal Process., 2020)

Multi-Carrier Agile Phased Array Radar. - Tianyao Huang; Nir Shlezinger; Xingyu Xu 001; Dingyou Ma; Yimin Liu; Yonina C. Eldar (IEEE Trans. Signal Process., 2020)

Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar. - Xiang Liu 022; Tianyao Huang; Nir Shlezinger; Yimin Liu; Jie Zhou 028; Yonina C. Eldar (IEEE Trans. Signal Process., 2020)

A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint. - Mingjin Wang; Feifei Gao; Nir Shlezinger; Mark F. Flanagan; Yonina C. Eldar (IEEE Trans. Signal Process., 2020)

ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection. - Nir Shlezinger; Nariman Farsad; Yonina C. Eldar; Andrea J. Goldsmith (IEEE Trans. Wirel. Commun., 2020)

A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation. - Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yariv Shavit; Moshe Namer; Yimin Liu; Yonina C. Eldar (ACSCC, 2021)

Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems. - Liuhang Wang; Nir Shlezinger; George C. Alexandropoulos; Haiyang Zhang 001; Baoyun Wang; Yonina C. Eldar (ACSCC, 2021)

Efficient Epileptic Seizure Detection Using CNN-Aided Factor Graphs. - Bahareh Salafian; Eyal Fishel Ben; Nir Shlezinger; Sandrine de Ribaupierre; Nariman Farsad (EMBC, 2021)

Task-Based Analog-to-Digital Converters for Bandlimited Systems. - Peter Neuhaus; Nir Shlezinger; Meik Dörpinghaus; Yonina C. Eldar; Gerhard P. Fettweis (EUSIPCO, 2021)

Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests. - Alejandro Cohen; Nir Shlezinger; Amit Solomon; Yonina C. Eldar; Muriel Médard (ICASSP, 2021)

Graph Signal Compression via Task-Based Quantization. - Pei Li; Nir Shlezinger; Haiyang Zhang 001; Baoyun Wang; Yonina C. Eldar (ICASSP, 2021)

Bit Constrained Communication Receivers In Joint Radar Communications Systems. - Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yimin Liu; Yonina C. Eldar (ICASSP, 2021)

Kalmannet: Data-Driven Kalman Filtering. - Guy Revach; Nir Shlezinger; Ruud J. G. van Sloun; Yonina C. Eldar (ICASSP, 2021)

Collaborative Inference via Ensembles on the Edge. - Nir Shlezinger; Erez Farhan; Hai Morgenstern; Yonina C. Eldar (ICASSP, 2021)

Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs. - Feng Xi; Nir Shlezinger; Yonina C. Eldar (ICASSP, 2021)

Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas. - Haiyang Zhang 001; Nir Shlezinger; Francesco Guidi; Davide Dardari; Mohammadreza F. Imani; Yonina C. Eldar (ICASSP, 2021)

Joint Resource Management and Model Compression for Wireless Federated Learning. - Mingzhe Chen; Nir Shlezinger; H. Vincent Poor; Yonina C. Eldar; Shuguang Cui (ICC, 2021)

Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. - Tomer Raviv; Sangwoo Park 002; Nir Shlezinger; Osvaldo Simeone; Yonina C. Eldar; Joonhyuk Kang (ICC Workshops, 2021)

Model-Inspired Deep Detection with Low-Resolution Receivers. - Shahin Khobahi; Nir Shlezinger; Mojtaba Soltanalian; Yonina C. Eldar (ISIT, 2021)

Channel Estimation with Simultaneous Reflecting and Sensing Reconfigurable Intelligent Metasurfaces. - Haiyang Zhang 001; Nir Shlezinger; Idban Alamzadeh; George C. Alexandropoulos; Mohammadreza F. Imani; Yonina C. Eldar (SPAWC, 2021)

Fedrec: Federated Learning of Universal Receivers Over Fading Channels. - Mahdi Boloursaz Mashhadi; Nir Shlezinger; Yonina C. Eldar; Deniz Gündüz (SSP, 2021)

Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities. - George C. Alexandropoulos; Nir Shlezinger; Philipp del Hougne (IEEE Commun. Mag., 2021)

Model-Based Machine Learning for Communications. - Nir Shlezinger; Nariman Farsad; Yonina C. Eldar; Andrea J. Goldsmith (CoRR, 2021)

Deep Task-Based Quantization. - Nir Shlezinger; Yonina C. Eldar (Entropy, 2021)

FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation. - Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yimin Liu; Yonina C. Eldar (IEEE J. Sel. Top. Signal Process., 2021)

Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs. - Hanqing Wang 002; Nir Shlezinger; Yonina C. Eldar; Shi Jin 002; Mohammadreza F. Imani; Insang Yoo; David R. Smith (IEEE Trans. Commun., 2021)

Serial Quantization for Sparse Time Sequences. - Alejandro Cohen; Nir Shlezinger; Salman Salamatian; Yonina C. Eldar; Muriel Médard (IEEE Trans. Signal Process., 2021)

LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers. - Shahin Khobahi; Nir Shlezinger; Mojtaba Soltanalian; Yonina C. Eldar (IEEE Trans. Signal Process., 2021)

Task-Based Analog-to-Digital Converters. - Peter Neuhaus; Nir Shlezinger; Meik Dörpinghaus; Yonina C. Eldar; Gerhard P. Fettweis (IEEE Trans. Signal Process., 2021)

Over-the-Air Federated Learning From Heterogeneous Data. - Tomer Sery; Nir Shlezinger; Kobi Cohen; Yonina C. Eldar (IEEE Trans. Signal Process., 2021)

UVeQFed: Universal Vector Quantization for Federated Learning. - Nir Shlezinger; Mingzhe Chen; Yonina C. Eldar; H. Vincent Poor; Shuguang Cui (IEEE Trans. Signal Process., 2021)

BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization. - Feng Xi; Nir Shlezinger; Yonina C. Eldar (IEEE Trans. Signal Process., 2021)

Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype. - Dingyou Ma; Nir Shlezinger; Tianyao Huang; Yariv Shavit; Moshe Namer; Yimin Liu; Yonina C. Eldar (IEEE Trans. Veh. Technol., 2021)

DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection. - Nir Shlezinger; Rong Fu; Yonina C. Eldar (IEEE Trans. Wirel. Commun., 2021)

Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications. - Nir Shlezinger; George C. Alexandropoulos; Mohammadreza F. Imani; Yonina C. Eldar; David R. Smith (IEEE Wirel. Commun., 2021)

Unsupervised Learned Kalman Filtering. - Guy Revach; Nir Shlezinger; Timur Locher; Xiaoyong Ni; Ruud J. G. van Sloun; Yonina C. Eldar (EUSIPCO, 2022)

Personalized Sleep State Classification via Learned Factor Graphs. - Bar Rubinstein; Yoav Filin; Nir Shlezinger; Nariman Farsad (EUSIPCO, 2022)

End-to-End Fading Channel Modeling for RIS-Empowered Smart Wireless Environments. - Rashid Faqiri; Chloé Saigre-Tardif; George C. Alexandropoulos; Nir Shlezinger; Mohammadreza F. Imani; Philipp del Hougne (GLOBECOM (Workshops), 2022)

Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing. - Eyal Fishel Ben-Knaan; Yonina C. Eldar; Nir Shlezinger (ICASSP, 2022)

Symbol-Level Online Channel Tracking for Deep Receivers. - Ron Aharon Finish; Yoav Cohen; Tomer Raviv; Nir Shlezinger (ICASSP, 2022)

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. - Itzik Klein; Guy Revach; Nir Shlezinger; Jonas E. Mehr; Ruud J. G. van Sloun; Yonina C. Eldar (ICASSP, 2022)

Deep Augmented Music Algorithm for Data-Driven Doa Estimation. - Julian P. Merkofer; Guy Revach; Nir Shlezinger; Ruud J. G. van Sloun (ICASSP, 2022)

On the Acquisition of Stationary Signals Using Uniform ADCS. - Peter Neuhaus; Nir Shlezinger; Meik Dörpinghaus; Yonina C. Eldar; Gerhard P. Fettweis (ICASSP, 2022)

RTSNet: Deep Learning Aided Kalman Smoothing. - Xiaoyong Ni; Guy Revach; Nir Shlezinger; Ruud J. G. van Sloun; Yonina C. Eldar (ICASSP, 2022)

CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection. - Bahareh Salafian; Eyal Fishel Ben-Knaan; Nir Shlezinger; Sandrine de Ribaupierre; Nariman Farsad (ICASSP, 2022)

Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic Rich-Scattering Environments. - Kyriakos Stylianopoulos; Nir Shlezinger; Philipp del Hougne; George C. Alexandropoulos (ICASSP, 2022)

Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs. - Timur Zirtiloglu; Nir Shlezinger; Yonina C. Eldar; Rabia Tugce Yazicigil (ICASSP, 2022)

Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization. - Konstantinos D. Katsanos; Nir Shlezinger; Mohammadreza F. Imani; George C. Alexandropoulos (ICC Workshops, 2022)

DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications. - Alejandro Cohen; Amit Solomon; Nir Shlezinger (ISIT, 2022)

Joint Privacy Enhancement and Quantization in Federated Learning. - Natalie Lang; Nir Shlezinger (ISIT, 2022)

Composite Anomaly Detection via Hierarchical Dynamic Search. - Benjamin Wolff; Tomer Gafni; Guy Revach; Nir Shlezinger; Kobi Cohen (ISIT, 2022)

Learn to Rapidly Optimize Hybrid Precoding. - Ortal Agiv; Nir Shlezinger (SPAWC, 2022)

Adaptive Data Augmentation for Deep Receivers. - Tomer Raviv; Nir Shlezinger (SPAWC, 2022)

Near-Field Wireless Power Transfer with Dynamic Metasurface Antennas. - Haiyang Zhang 001; Nir Shlezinger; Francesco Guidi; Davide Dardari; Mohammadreza F. Imani; Yonina C. Eldar (SPAWC, 2022)

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. - Nir Shlezinger; Yonina C. Eldar; Stephen P. Boyd (IEEE Access, 2022)

Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges. - Haiyang Zhang 001; Nir Shlezinger; Francesco Guidi; Davide Dardari; Mohammadreza F. Imani; Yonina C. Eldar (IEEE Commun. Mag., 2022)

Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces. - Haiyang Zhang 001; Nir Shlezinger; George C. Alexandropoulos; Idban Alamzadeh; Mohammadreza F. Imani; Yonina C. Eldar (CoRR, 2022)

Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks. - Emeka Abakasanga; Nir Shlezinger; Ron Dabora (CoRR, 2022)

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM. - Geon Choi; Jeonghun Park; Nir Shlezinger; Yonina C. Eldar; Namyoon Lee (CoRR, 2022)

Collaborative Inference for AI-Empowered IoT Devices. - Nir Shlezinger; Ivan V. Bajic (IEEE Internet Things Mag., 2022)

Federated Learning: A signal processing perspective. - Tomer Gafni; Nir Shlezinger; Kobi Cohen; Yonina C. Eldar; H. Vincent Poor (IEEE Signal Process. Mag., 2022)

Graph Signal Compression by Joint Quantization and Sampling. - Pei Li; Nir Shlezinger; Haiyang Zhang 001; Baoyun Wang; Yonina C. Eldar (IEEE Trans. Signal Process., 2022)

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. - Guy Revach; Nir Shlezinger; Xiaoyong Ni; Adrià López Escoriza; Ruud J. G. van Sloun; Yonina C. Eldar (IEEE Trans. Signal Process., 2022)

Deep Task-Based Analog-to-Digital Conversion. - Nir Shlezinger; Ariel Amar; Ben Luijten; Ruud J. G. van Sloun; Yonina C. Eldar (IEEE Trans. Signal Process., 2022)

Learned Factor Graphs for Inference From Stationary Time Sequences. - Nir Shlezinger; Nariman Farsad; Yonina C. Eldar; Andrea J. Goldsmith (IEEE Trans. Signal Process., 2022)

Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink. - Thien Van Luong; Nir Shlezinger; Chao Xu 005; Tiep Minh Hoang; Yonina C. Eldar; Lajos Hanzo (IEEE Trans. Veh. Technol., 2022)

Beam Focusing for Near-Field Multiuser MIMO Communications. - Haiyang Zhang 001; Nir Shlezinger; Francesco Guidi; Davide Dardari; Mohammadreza F. Imani; Yonina C. Eldar (IEEE Trans. Wirel. Commun., 2022)

Fast Deep Unfolded Hybrid Beamforming in Multiuser Large MIMO Systems. - Nhan Thanh Nguyen 001; Ly Van Nguyen; Nir Shlezinger; A. Lee Swindlehurst; Markku J. Juntti (ACSSC, 2023)

Task-Specific Low-Power Beamforming MIMO Receiver Using 2-Bit Analog-to-Digital Converters. - Timur Zirtiloglu; Peter Crary; Eyyup Tasci; Arslan Riaz; Yonina C. Eldar; Nir Shlezinger; Rabia Tugce Yazicigil (A-SSCC, 2023)

Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals. - Lital Dabush; Nir Shlezinger; Tirza Routtenberg (CISS, 2023)

Generating Artistic Images Via Few-Shot Style Transfer. - Itay Buchnik; Or Berebi; Tammy Riklin Raviv; Nir Shlezinger (ICASSP Workshops, 2023)

Learned Kalman Filtering in Latent Space with High-Dimensional Data. - Itay Buchnik; Damiano Steger; Guy Revach; Ruud J. G. van Sloun; Tirza Routtenberg; Nir Shlezinger (ICASSP, 2023)

LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. - Solomon Goldgraber Casspi; Oliver Hüsser; Guy Revach; Nir Shlezinger (ICASSP, 2023)

Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading. - Haoran Deng; Guy Revach; Hai Morgenstern; Nir Shlezinger (ICASSP, 2023)

Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas. - Wei Huang 010; Haiyang Zhang 001; Nir Shlezinger; Yonina C. Eldar (ICASSP, 2023)

CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks. - Natalie Lang; Elad Sofer; Nir Shlezinger; Rafael G. L. D'Oliveira; Salim El Rouayheb (ICASSP, 2023)

Hierarchical Filtering With Online Learned Priors for ECG Denoising. - Timur Locher; Guy Revach; Nir Shlezinger; Ruud J. G. van Sloun; Rik Vullings (ICASSP, 2023)

Learning Multi-Rate Vector Quantization for Remote Deep Inference. - May Malka; Shai Ginzach; Nir Shlezinger (ICASSP Workshops, 2023)

Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems. - Nhan Thanh Nguyen 001; Mengyuan Ma; Nir Shlezinger; Yonina C. Eldar; A. Lee Swindlehurst; Markku J. Juntti (ICASSP, 2023)

Distributed Admm with Limited Communications Via Deep Unfolding. - Yoav Noah; Nir Shlezinger (ICASSP, 2023)

Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems. - Guy Sagi; Nir Shlezinger; Tirza Routtenberg (ICASSP, 2023)

Deep Root Music Algorithm for Data-Driven Doa Estimation. - Dor Haim Shmuel; Julian P. Merkofer; Guy Revach; Ruud J. G. van Sloun; Nir Shlezinger (ICASSP, 2023)

Outlier-Insensitive Kalman Filtering Using NUV Priors. - Shunit Truzman; Guy Revach; Nir Shlezinger; Itzik Klein (ICASSP, 2023)

Near-field Localization with Dynamic Metasurface Antennas. - Qianyu Yang; Anna Guerra; Francesco Guidi; Nir Shlezinger; Haiyang Zhang 001; Davide Dardari; Baoyun Wang; Yonina C. Eldar (ICASSP, 2023)

Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Nir Shlezinger (ICC Workshops, 2023)

Deep Unfolded Superposition Coding Optimization for Two-Hop NOMA MANETs. - Tomer Alter; Nir Shlezinger (MILCOM, 2023)

On the Interpretable Adversarial Sensitivity of Iterative Optimizers. - Elad Sofer; Nir Shlezinger (MLSP, 2023)

Joint Communications and Sensing Design for Multi-Carrier MIMO Systems. - Nhan Thanh Nguyen 001; Nir Shlezinger; Khac-Hoang Ngo; Van-Dinh Nguyen; Markku J. Juntti (SSP, 2023)

MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG Signals. - Bahareh Salafian; Eyal Fishel Ben-Knaan; Nir Shlezinger; Sandrine de Ribaupierre; Nariman Farsad (IEEE Access, 2023)

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems. - Nhan Thanh Nguyen 001; Mengyuan Ma; Nir Shlezinger; Yonina C. Eldar; A. Lee Swindlehurst; Markku J. Juntti (CoRR, 2023)

AI-Empowered Hybrid MIMO Beamforming. - Nir Shlezinger; Mengyuan Ma; Ortal Lavi; Nhan Thanh Nguyen 001; Yonina C. Eldar; Markku J. Juntti (CoRR, 2023)

Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks. - Natalie Lang; Nir Shlezinger; Rafael G. L. D'Oliveira; Salim El Rouayheb (CoRR, 2023)

Outlier-Insensitive Kalman Filtering: Theory and Applications. - Shunit Truzman; Guy Revach; Nir Shlezinger; Itzik Klein (CoRR, 2023)

Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM. - Yoav Noah; Nir Shlezinger (CoRR, 2023)

Model-Based Deep Learning. - Nir Shlezinger; Yonina C. Eldar (Found. Trends Signal Process., 2023)

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. - Tomer Gafni; Benjamin Wolff; Guy Revach; Nir Shlezinger; Kobi Cohen (IEEE Trans. Signal Process., 2023)

Joint Privacy Enhancement and Quantization in Federated Learning. - Natalie Lang; Elad Sofer; Tomer Shaked; Nir Shlezinger (IEEE Trans. Signal Process., 2023)

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems. - Nhan Thanh Nguyen 001; Mengyuan Ma; Ortal Lavi; Nir Shlezinger; Yonina C. Eldar; A. Lee Swindlehurst; Markku J. Juntti (IEEE Trans. Signal Process., 2023)

Multiuser MIMO Wideband Joint Communications and Sensing System With Subcarrier Allocation. - Nhan Thanh Nguyen 001; Nir Shlezinger; Yonina C. Eldar; Markku J. Juntti (IEEE Trans. Signal Process., 2023)

RTSNet: Learning to Smooth in Partially Known State-Space Models. - Guy Revach; Xiaoyong Ni; Nir Shlezinger; Ruud J. G. van Sloun; Yonina C. Eldar (IEEE Trans. Signal Process., 2023)

PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading. - Rashid Faqiri; Chloé Saigre-Tardif; George C. Alexandropoulos; Nir Shlezinger; Mohammadreza F. Imani; Philipp del Hougne (IEEE Trans. Wirel. Commun., 2023)

6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing. - Haiyang Zhang 001; Nir Shlezinger; Francesco Guidi; Davide Dardari; Yonina C. Eldar (IEEE Commun. Mag., 2023)

Channel Estimation With Hybrid Reconfigurable Intelligent Metasurfaces. - Haiyang Zhang 001; Nir Shlezinger; George C. Alexandropoulos; Avner Shultzman; Idban Alamzadeh; Mohammadreza F. Imani; Yonina C. Eldar (IEEE Trans. Commun., 2023)

Model-Based Deep Learning. - Nir Shlezinger; Jay Whang; Yonina C. Eldar; Alexandros G. Dimakis (Proc. IEEE, 2023)

Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing. - Sundeep Prabhakar Chepuri; Nir Shlezinger; Fan Liu 005; George C. Alexandropoulos; Stefano Buzzi; Yonina C. Eldar (IEEE Signal Process. Mag., 2023)

Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]. - Nir Shlezinger; Tirza Routtenberg (IEEE Signal Process. Mag., 2023)

Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks. - Emeka Abakasanga; Nir Shlezinger; Ron Dabora (IEEE Trans. Veh. Technol., 2023)

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for State Estimation. - Geon Choi; Jeonghun Park; Nir Shlezinger; Yonina C. Eldar; Namyoon Lee (IEEE Trans. Veh. Technol., 2023)

Learn to Rapidly and Robustly Optimize Hybrid Precoding. - Ortal Lavi; Nir Shlezinger (IEEE Trans. Commun., 2023)

Online Meta-Learning for Hybrid Model-Based Deep Receivers. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Yonina C. Eldar; Nir Shlezinger (IEEE Trans. Wirel. Commun., 2023)

Data Augmentation for Deep Receivers. - Tomer Raviv; Nir Shlezinger (IEEE Trans. Wirel. Commun., 2023)

Optimization of Iterative Blind Detection Based on Expectation Maximization and Belief Propagation. - Luca Schmid; Tomer Raviv; Nir Shlezinger; Laurent Schmalen (IEEECONF, 2024)

Learn to Track-Before-Detect via Neural Dynamic Programming. - Eyal Fishel Ben; Nikita Tsarov; Tslil Tapiro; Itay Nuri; Nir Shlezinger (ICASSP, 2024)

Uncertainty Quantification in Deep Learning Based Kalman Filters. - Yehonatan Dahan; Guy Revach; Jindrich Duník; Nir Shlezinger (ICASSP, 2024)

Leaky Waveguide Antennas for Downlink Wideband THz Communications. - Yaela Gabay; Nir Shlezinger; Tirza Routtenberg; Yasaman Ghasempour; George C. Alexandropoulos; Yonina C. Eldar (ICASSP, 2024)

Data-Driven Lattices for Vector Quantization. - Natalie Lang; Itamar Assaf; Omer Bokobza; Nir Shlezinger (ICASSP, 2024)

Rapid Hybrid Modular Receive Beamforming Via Learned Optimization. - Ohad Levy; Nir Shlezinger (ICASSP, 2024)

Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation. - Xiaoyong Ni; Guy Revach; Nir Shlezinger (ICASSP, 2024)

CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. - Tomer Raviv; Alon Goldmann; Ofek Vayner; Yair Be'ery; Nir Shlezinger (ICASSP, 2024)

Power-Aware Task-Based Learning of Neuromorphic ADCs. - Tal Vol; Loai Danial; Nir Shlezinger (ICASSP, 2024)

Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces. - 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; et al. (NeurIPS, 2024)

Neural Augmented Particle Filtering with Learning Flock of Particles. - Itai Nuri; Nir Shlezinger (SPAWC, 2024)

Multi-Frequency Upper Mid-Band Localization. - Tomer Raviv; Seongjoon Kang; Marco Mezzavilla; Sundeep Rangan; Nir Shlezinger (SPAWC, 2024)

Concept Drift Detection for Deep Learning Aided Receivers in Dynamic Channels. - Nicole Uzlaner; Tomer Raviv; Nir Shlezinger; Koby Todros (SPAWC, 2024)

Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs. - Luca Schmid; Tomer Raviv; Nir Shlezinger; Laurent Schmalen (CoRR, 2024)

Rapid Optimization of Superposition Codes for Multi-Hop NOMA MANETs via Deep Unfolding. - Tomer Alter; Nir Shlezinger (CoRR, 2024)

Information Compression in the AI Era: Recent Advances and Future Challenges. - Jun Chen 005; Yong Fang 001; Ashish Khisti; Ayfer Özgür; Nir Shlezinger; Chao Tian 002 (CoRR, 2024)

Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming. - Ohad Levy; Nir Shlezinger (CoRR, 2024)

Learning Flock: Enhancing Sets of Particles for Multi Sub-State Particle Filtering with Neural Augmentation. - Itai Nuri; Nir Shlezinger (CoRR, 2024)

Modular Hypernetworks for Scalable and Adaptive Deep MIMO Receivers. - Tomer Raviv; Nir Shlezinger (CoRR, 2024)

AI-Aided Kalman Filters. - Nir Shlezinger; Guy Revach; Anubhab Ghosh; Saikat Chatterjee; Shuo Tang; Tales Imbiriba; Jindrich Duník; Ondrej Straka; Pau Closas; Yonina C. Eldar (CoRR, 2024)

Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional Signals. - Itay Buchnik; Guy Revach; Damiano Steger; Ruud J. G. van Sloun; Tirza Routtenberg; Nir Shlezinger (IEEE Trans. Signal Process., 2024)

GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering. - Itay Buchnik; Guy Sagi; Nimrod Leinwand; Yuval Loya; Nir Shlezinger; Tirza Routtenberg (IEEE Trans. Signal Process., 2024)

Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading. - Amit Milstein; Guy Revach; Haoran Deng; Hai Morgenstern; Nir Shlezinger (IEEE Trans. Signal Process., 2024)

HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising. - Guy Revach; Timur Locher; Nir Shlezinger; Ruud J. G. van Sloun; Rik Vullings (IEEE Trans. Signal Process., 2024)

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. - Julian P. Merkofer; Guy Revach; Nir Shlezinger; Tirza Routtenberg; Ruud J. G. van Sloun (IEEE Trans. Veh. Technol., 2024)

Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications. - George C. Alexandropoulos; Nir Shlezinger; Idban Alamzadeh; Mohammadreza F. Imani; Haiyang Zhang 001; Yonina C. Eldar (IEEE Veh. Technol. Mag., 2024)

Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding. - Nhan Thanh Nguyen 001; Ly Van Nguyen; Nir Shlezinger; Yonina C. Eldar; A. Lee Swindlehurst; Markku J. Juntti (IEEE J. Sel. Top. Signal Process., 2024)

On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. - Antonin Rabault; Luc Le Magoarou; Jérôme Sol; George C. Alexandropoulos; Nir Shlezinger; H. Vincent Poor; Philipp del Hougne (IEEE Trans. Wirel. Commun., 2024)

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. - Tomer Raviv; Sangwoo Park 002; Osvaldo Simeone; Yonina C. Eldar; Nir Shlezinger (IEEE Wirel. Commun., 2024)

Artificial Intelligence-Empowered Hybrid Multiple-input/multiple-output Beamforming: Learning to Optimize for High-Throughput Scalable MIMO. - Nir Shlezinger; Mengyuan Ma; Ortal Lavi; Nhan Thanh Nguyen 001; Yonina C. Eldar; Markku J. Juntti (IEEE Veh. Technol. Mag., 2024)

DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources. - Arad Gast; Luc Le Magoarou; Nir Shlezinger (ICASSP, 2025)

Rapid Online Bayesian Learning for Deep Receivers. - Yakov Gusakov; Osvaldo Simeone; Tirza Routtenberg; Nir Shlezinger (ICASSP, 2025)

Learning-Aided Kalman Tracking in Biased Dynamic Systems: The Case of Cable-Driven Robots for Surgery. - Linoy Ketashvili; Shachar Ashkenasy; Ilana Nisky; Nir Shlezinger (ICASSP, 2025)

Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems. - Mengyuan Ma; Tianyu Fang; Nir Shlezinger; A. Lee Swindlehurst; Markku J. Juntti; Nhan Nguyen (ICASSP, 2025)

Learned Approximated Optimization for Rapid Low-Complexity Hybrid Beamforming Design. - Amit Milstein; Tomer Yablonka; Nir Shlezinger (ICASSP, 2025)

Deep Variational Sequential Monte Carlo for High-Dimensional Observations. - Wessel L. van Nierop; Nir Shlezinger; Ruud J. G. van Sloun (ICASSP, 2025)

PAUSE: Privacy-Aware Active User Selection for Federated Learning. - Ori Peleg; Natalie Lang; Stefano Rini; Nir Shlezinger; Kobi Cohen (ICASSP, 2025)

Deep Unfolding-Empowered mmWave Massive MIMO Joint Communications and Sensing. - Nhan Thanh Nguyen 001; Ly Van Nguyen; Nir Shlezinger; Yonina C. Eldar; A. Lee Swindlehurst; Markku J. Juntti (JC&S, 2025)

Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter. - Yehonatan Dahan; Guy Revach; Jindrich Duník; Nir Shlezinger (IEEE Trans. Signal Process., 2025)

Learning Flock: Enhancing Sets of Particles for Multi Substate Particle Filtering With Neural Augmentation. - Itai Nuri; Nir Shlezinger (IEEE Trans. Signal Process., 2025)

Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation. - Tal Vol; Loai Danial; Nir Shlezinger (IEEE Trans. Signal Process., 2025)

Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization. - Eyal Fishel; May Malka; Shai Ginzach; Nir Shlezinger (CoRR, 2025)

A Deep-NN Beamforming Approach for Dual Function Radar-Communication THz UAV. - Gianluca Fontanesi; Anna Guerra; Francesco Guidi; Juan Andrés Vásquez-Peralvo; Nir Shlezinger; Alberto Zanella; Eva Lagunas; Symeon Chatzinotas; Davide Dardari; Petar M. Djuric (IEEE Trans. Veh. Technol., 2025)

Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge. - May Malka; Erez Farhan; Hai Morgenstern; Nir Shlezinger (IEEE Trans. Wirel. Commun., 2025)

Optimal ISAC Beamforming Structure and Efficient Algorithms for Sum Rate and CRLB Balancing. - Tianyu Fang; Mengyuan Ma; Markku J. Juntti; Nir Shlezinger; A. Lee Swindlehurst; Nhan Thanh Nguyen 001 (CoRR, 2025)

PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning. - Ori Peleg; Natalie Lang; Stefano Rini; Nir Shlezinger; Kobi Cohen (CoRR, 2025)

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. - Dor Haim Shmuel; Julian P. Merkofer; Guy Revach; Ruud J. G. van Sloun; Nir Shlezinger (IEEE Trans. Veh. Technol., 2025)

Near Field Localization via AI-Aided Subspace Methods. - Arad Gast; Luc Le Magoarou; Nir Shlezinger (CoRR, 2025)

Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers. - Elad Sofer; Tomer Shaked; Caroline Chaux; Nir Shlezinger (CoRR, 2025)

Distributed Learn-to-Optimize: Limited Communications Optimization Over Networks via Deep Unfolded Distributed ADMM. - Yoav Noah; Nir Shlezinger (IEEE Trans. Mob. Comput., 2025)

Adaptive Deadline and Batch Layered Synchronized Federated Learning. - Asaf Goren; Natalie Lang; Nir Shlezinger; Alejandro Cohen (CoRR, 2025)

Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates. - Natalie Lang; Alejandro Cohen; Nir Shlezinger (IEEE Trans. Commun., 2025)

Asynchronous Online Adaptation via Modular Drift Detection for Deep Receivers. - Nicole Uzlaner; Tomer Raviv; Nir Shlezinger; Koby Todros (IEEE Trans. Wirel. Commun., 2025)

In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory. - Matteo Zecchin; Tomer Raviv; Dileep Kalathil; Krishna Narayanan 001; Nir Shlezinger; Osvaldo Simeone (CoRR, 2025)

OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning. - Natalie Lang; Maya Simhi; Nir Shlezinger (CoRR, 2025)

Near-Field Beam Focusing for Wireless Power Transfer With Dynamic Metasurface Antennas. - Haiyang Zhang 001; Nir Shlezinger; Francesco Guidi; Anna Guerra; Davide Dardari; Mohammadreza F. Imani; Yonina C. Eldar (IEEE Internet Things J., 2025)

Guest Editorial: Rethinking the Information Identification, Representation, and Transmission Pipeline: New Approaches to Data Compression and Communication. - Jun Chen 005; Alexandros G. Dimakis; Yong Fang 001; Ashish Khisti; Ayfer Özgür; Nir Shlezinger (IEEE J. Sel. Areas Commun., 2025)

Information Compression in the AI Era: Recent Advances and Future Challenges. - Jun Chen 005; Yong Fang 001; Ashish Khisti; Ayfer Özgür; Nir Shlezinger (IEEE J. Sel. Areas Commun., 2025)

Beam Focusing for Near-Field Multi-User Localization. - Qianyu Yang; Anna Guerra; Francesco Guidi; Nir Shlezinger; Haiyang Zhang 001; Davide Dardari; Baoyun Wang; Yonina C. Eldar (IEEE Trans. Veh. Technol., 2025)