| 2025 | ICASSP | DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources. | Arad Gast, Luc Le Magoarou, Nir Shlezinger |
| 2025 | ICASSP | Rapid Online Bayesian Learning for Deep Receivers. | Yakov Gusakov, Osvaldo Simeone, Tirza Routtenberg, Nir Shlezinger |
| 2025 | ICASSP | Learning-Aided Kalman Tracking in Biased Dynamic Systems: The Case of Cable-Driven Robots for Surgery. | Linoy Ketashvili, Shachar Ashkenasy, Ilana Nisky, Nir Shlezinger |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | Learned Approximated Optimization for Rapid Low-Complexity Hybrid Beamforming Design. | Amit Milstein, Tomer Yablonka, Nir Shlezinger |
| 2025 | ICASSP | Deep Variational Sequential Monte Carlo for High-Dimensional Observations. | Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun |
| 2025 | ICASSP | PAUSE: Privacy-Aware Active User Selection for Federated Learning. | Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen |
| 2024 | ACSSC | Optimization of Iterative Blind Detection Based on Expectation Maximization and Belief Propagation. | Luca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen |
| 2024 | ICASSP | Learn to Track-Before-Detect via Neural Dynamic Programming. | Eyal Fishel Ben, Nikita Tsarov, Tslil Tapiro, Itay Nuri, Nir Shlezinger |
| 2024 | ICASSP | Uncertainty Quantification in Deep Learning Based Kalman Filters. | Yehonatan Dahan, Guy Revach, Jindrich Dunk, Nir Shlezinger |
| 2024 | ICASSP | Leaky Waveguide Antennas for Downlink Wideband THz Communications. | Yaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar |
| 2024 | ICASSP | Data-Driven Lattices for Vector Quantization. | Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger |
| 2024 | ICASSP | Rapid Hybrid Modular Receive Beamforming Via Learned Optimization. | Ohad Levy, Nir Shlezinger |
| 2024 | ICASSP | Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation. | Xiaoyong Ni, Guy Revach, Nir Shlezinger |
| 2024 | ICASSP | CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. | Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger |
| 2024 | ICASSP | Power-Aware Task-Based Learning of Neuromorphic ADCs. | Tal Vol, Loai Danial, Nir Shlezinger |
| 2023 | ACSSC | Fast Deep Unfolded Hybrid Beamforming in Multiuser Large MIMO Systems. | Nhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, A. Lee Swindlehurst, Markku J. Juntti |
| 2023 | CISS | Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals. | Lital Dabush, Nir Shlezinger, Tirza Routtenberg |
| 2023 | ICASSP | Generating Artistic Images Via Few-Shot Style Transfer. | Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger |
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. | Solomon Goldgraber Casspi, Oliver Hsser, Guy Revach, Nir Shlezinger |
| 2023 | ICASSP | Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading. | Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger |
| 2023 | ICASSP | Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas. | Wei Huang, Haiyang Zhang, Nir Shlezinger, Yonina C. Eldar |
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | Hierarchical Filtering With Online Learned Priors for ECG Denoising. | Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings |
| 2023 | ICASSP | Learning Multi-Rate Vector Quantization for Remote Deep Inference. | May Malka, Shai Ginzach, Nir Shlezinger |
| 2023 | ICASSP | Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems. | Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti |
| 2023 | ICASSP | Distributed Admm with Limited Communications Via Deep Unfolding. | Yoav Noah, Nir Shlezinger |
| 2023 | ICASSP | Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems. | Guy Sagi, Nir Shlezinger, Tirza Routtenberg |
| 2023 | ICASSP | Deep Root Music Algorithm for Data-Driven Doa Estimation. | Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger |
| 2023 | ICASSP | Outlier-Insensitive Kalman Filtering Using NUV Priors. | Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein |
| 2023 | ICASSP | Near-field Localization with Dynamic Metasurface Antennas. | Qianyu Yang, Anna Guerra, Francesco Guidi, Nir Shlezinger, Haiyang Zhang, Davide Dardari, Baoyun Wang, Yonina C. Eldar |
| 2022 | GLOBECOM | End-to-End Fading Channel Modeling for RIS-Empowered Smart Wireless Environments. | Rashid Faqiri, Chlo Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne |
| 2022 | ICASSP | Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing. | Eyal Fishel Ben-Knaan, Yonina C. Eldar, Nir Shlezinger |
| 2022 | ICASSP | Symbol-Level Online Channel Tracking for Deep Receivers. | Ron Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger |
| 2022 | ICASSP | 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 |
| 2022 | ICASSP | Deep Augmented Music Algorithm for Data-Driven Doa Estimation. | Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun |
| 2022 | ICASSP | On the Acquisition of Stationary Signals Using Uniform ADCS. | Peter Neuhaus, Nir Shlezinger, Meik Drpinghaus, Yonina C. Eldar, Gerhard P. Fettweis |
| 2022 | ICASSP | RTSNet: Deep Learning Aided Kalman Smoothing. | Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar |
| 2022 | ICASSP | 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 |
| 2022 | ICASSP | Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic Rich-Scattering Environments. | Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos |
| 2022 | ICASSP | Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs. | Timur Zirtiloglu, Nir Shlezinger, Yonina C. Eldar, Rabia Tugce Yazicigil |
| 2022 | ISIT | DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications. | Alejandro Cohen, Amit Solomon, Nir Shlezinger |
| 2022 | ISIT | Joint Privacy Enhancement and Quantization in Federated Learning. | Natalie Lang, Nir Shlezinger |
| 2022 | ISIT | Composite Anomaly Detection via Hierarchical Dynamic Search. | Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen |
| 2021 | ACSSC | 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 |
| 2021 | ACSSC | Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems. | Liuhang Wang, Nir Shlezinger, George C. Alexandropoulos, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar |
| 2021 | ICASSP | Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests. | Alejandro Cohen, Nir Shlezinger, Amit Solomon, Yonina C. Eldar, Muriel Mdard |
| 2021 | ICASSP | Graph Signal Compression via Task-Based Quantization. | Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar |
| 2021 | ICASSP | Bit Constrained Communication Receivers In Joint Radar Communications Systems. | Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar |
| 2021 | ICASSP | Kalmannet: Data-Driven Kalman Filtering. | Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar |
| 2021 | ICASSP | Collaborative Inference via Ensembles on the Edge. | Nir Shlezinger, Erez Farhan, Hai Morgenstern, Yonina C. Eldar |
| 2021 | ICASSP | Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs. | Feng Xi, Nir Shlezinger, Yonina C. Eldar |
| 2021 | ICASSP | Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas. | Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar |
| 2021 | ISIT | Model-Inspired Deep Detection with Low-Resolution Receivers. | Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar |
| 2020 | GLOBECOM | COTAF: Convergent Over-the-Air Federated Learning. | Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar |
| 2020 | ICASSP | Distributed Quantization for Sparse Time Sequences. | Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Mdard |
| 2020 | ICASSP | Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems. | Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar |
| 2020 | ICASSP | Theoretical Analysis of Multi-Carrier Agile Phased Array Radar. | Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar |
| 2020 | ICASSP | Federated Learning with Quantization Constraints. | Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui |
| 2020 | ICASSP | Deep Soft Interference Cancellation for MIMO Detection. | Nir Shlezinger, Rong Fu, Yonina C. Eldar |
| 2020 | ICASSP | 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 |
| 2020 | ICASSP | Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers. | Hanqing Wang, Nir Shlezinger, Shi Jin, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith |
| 2020 | ISIT | Data-Driven Factor Graphs for Deep Symbol Detection. | Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith |
| 2020 | ISIT | The Communication-Aware Clustered Federated Learning Problem. | Nir Shlezinger, Stefano Rini, Yonina C. Eldar |
| 2019 | GLOBECOM | Deep Neural Network Symbol Detection for Millimeter Wave Communications. | Yun Liao, Nariman Farsad, Nir Shlezinger, Yonina C. Eldar, Andrea J. Goldsmith |
| 2019 | ICASSP | Dynamic Metasurfaces for Massive MIMO Networks. | Nir Shlezinger, Or Dicker, Yonina C. Eldar, Mohammadreza F. Imani, David R. Smith |
| 2019 | ICASSP | Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems with Joint Decoding. | Nir Shlezinger, Yonina C. Eldar |
| 2019 | ICASSP | Task-Based Quantization for Massive MIMO Channel Estimation. | Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues |
| 2019 | ICASSP | Deep Quantization for MIMO Channel Estimation. | Matan Shohat, Georgee Tsintsadze, Nir Shlezinger, Yonina C. Eldar |
| 2019 | ISIT | Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components. | Salman Salamatian, Nir Shlezinger, Yonina C. Eldar, Muriel Mdard |
| 2019 | ISIT | On the Capacity of Sampled Interference-Limited Communications Channels. | Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar |
| 2019 | ISIT | Joint Sampling and Recovery of Correlated Sources. | Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Mdard |
| 2018 | ISIT | Bounds on the Capacity of MIMO Broadband Power Line Communications Channels. | Nir Shlezinger, Roee Shaked, Ron Dabora |
| 2017 | ISIT | Using mutual information for designing the measurement matrix in phase retrieval problems. | Nir Shlezinger, Ron Dabora, Yonina C. Eldar |
| 2016 | ISIT | The capacity of discrete-time Gaussian MIMO channels with periodic characteristics. | Nir Shlezinger, Ron Dabora |
| 2015 | ISIT | The secrecy capacity of MIMO Gaussian channels with finite memory. | Nir Shlezinger, Daniel Zahavi, Yonathan Murin, Ron Dabora |
| 2014 | ICASSP | Frequency-shift filtering for OFDM recovery in narrowband power line communications. | Nir Shlezinger, Ron Dabora |