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2025

Deep Unfolding-Empowered mmWave Massive MIMO Joint Communications and SensingNhan Thanh Nguyen 0001, Ly Van Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti. jcs 2025: 1-6 [doi]

Near-Field Beam Focusing for Wireless Power Transfer With Dynamic Metasurface AntennasHaiyang Zhang 0001, Nir Shlezinger, Francesco Guidi, Anna Guerra, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar. iotj, 12(12):18596-18605, June 2025. [doi]

Information Compression in the AI Era: Recent Advances and Future ChallengesJun Chen 0005, Yong Fang 0001, Ashish Khisti, Ayfer Özgür, Nir Shlezinger. jsac, 43(7):2333-2348, July 2025. [doi]

Guest Editorial: Rethinking the Information Identification, Representation, and Transmission Pipeline: New Approaches to Data Compression and CommunicationJun Chen 0005, Alexandros G. Dimakis, Yong Fang 0001, Ashish Khisti, Ayfer Özgür, Nir Shlezinger. jsac, 43(7):2328-2332, July 2025. [doi]

Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman FilterYehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger. tsp, 73:2558-2573, 2025. [doi]

A Deep-NN Beamforming Approach for Dual Function Radar-Communication THz UAVGianluca Fontanesi, Anna Guerra, Francesco Guidi, Juan Andrés Vásquez-Peralvo, Nir Shlezinger, Alberto Zanella, Eva Lagunas, Symeon Chatzinotas, Davide Dardari, Petar M. Djuric. tvt, 74(1):746-760, January 2025. [doi]

DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple SourcesArad Gast, Luc Le Magoarou, Nir Shlezinger. icassp 2025: 1-5 [doi]

Rapid Online Bayesian Learning for Deep ReceiversYakov Gusakov, Osvaldo Simeone, Tirza Routtenberg, Nir Shlezinger. icassp 2025: 1-5 [doi]

Learning-Aided Kalman Tracking in Biased Dynamic Systems: The Case of Cable-Driven Robots for SurgeryLinoy Ketashvili, Shachar Ashkenasy, Ilana Nisky, Nir Shlezinger. icassp 2025: 1-5 [doi]

Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model UpdatesNatalie Lang, Alejandro Cohen, Nir Shlezinger. tcom, 73(5):3333-3346, May 2025. [doi]

Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS SystemsMengyuan Ma, Tianyu Fang, Nir Shlezinger, A. Lee Swindlehurst, Markku J. Juntti, Nhan Nguyen. icassp 2025: 1-5 [doi]

Decentralized Low-Latency Collaborative Inference via Ensembles on the EdgeMay Malka, Erez Farhan, Hai Morgenstern, Nir Shlezinger. TWC, 24(1):598-614, January 2025. [doi]

Learned Approximated Optimization for Rapid Low-Complexity Hybrid Beamforming DesignAmit Milstein, Tomer Yablonka, Nir Shlezinger. icassp 2025: 1-5 [doi]

Distributed Learn-to-Optimize: Limited Communications Optimization Over Networks via Deep Unfolded Distributed ADMMYoav Noah, Nir Shlezinger. tmc, 24(4):3012-3024, April 2025. [doi]

Learning Flock: Enhancing Sets of Particles for Multi Substate Particle Filtering With Neural AugmentationItai Nuri, Nir Shlezinger. tsp, 73:99-112, 2025. [doi]

PAUSE: Privacy-Aware Active User Selection for Federated LearningOri Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen. icassp 2025: 1-5 [doi]

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA EstimationDor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger. tvt, 74(3):4962-4976, March 2025. [doi]

Asynchronous Online Adaptation via Modular Drift Detection for Deep ReceiversNicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros. TWC, 24(5):4454-4468, May 2025. [doi]

Deep Variational Sequential Monte Carlo for High-Dimensional ObservationsWessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun. icassp 2025: 1-5 [doi]

Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware DistillationTal Vol, Loai Danial, Nir Shlezinger. tsp, 73:1246-1261, 2025. [doi]

2024

Joint Communications and Sensing Hybrid Beamforming Design via Deep UnfoldingNhan Thanh Nguyen 0001, Ly Van Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti. jstsp, 18(5):901-916, July 2024. [doi]

Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless CommunicationsGeorge C. Alexandropoulos, Nir Shlezinger, Idban Alamzadeh, Mohammadreza F. Imani, Haiyang Zhang, Yonina C. Eldar. vtm, 19(1):75-84, March 2024. [doi]

Learn to Track-Before-Detect via Neural Dynamic ProgrammingEyal Fishel Ben, Nikita Tsarov, Tslil Tapiro, Itay Nuri, Nir Shlezinger. icassp 2024: 9586-9590 [doi]

GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman FilteringItay Buchnik, Guy Sagi, Nimrod Leinwand, Yuval Loya, Nir Shlezinger, Tirza Routtenberg. tsp, 72:3700-3716, 2024. [doi]

Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional SignalsItay Buchnik, Guy Revach, Damiano Steger, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger. tsp, 72:352-367, 2024. [doi]

Exploring the trade-off between deep-learning and explainable models for brain-machine interfacesLuis 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. nips 2024: [doi]

Uncertainty Quantification in Deep Learning Based Kalman FiltersYehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger. icassp 2024: 13121-13125 [doi]

Leaky Waveguide Antennas for Downlink Wideband THz CommunicationsYaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar. icassp 2024: 9111-9115 [doi]

Data-Driven Lattices for Vector QuantizationNatalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger. icassp 2024: 8080-8084 [doi]

Rapid Hybrid Modular Receive Beamforming Via Learned OptimizationOhad Levy, Nir Shlezinger. icassp 2024: 12826-12830 [doi]

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC AlgorithmJulian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun. tvt, 73(2):2771-2785, 2024. [doi]

Neural Augmented Kalman Filtering With Bollinger Bands for Pairs TradingAmit Milstein, Guy Revach, Haoran Deng, Hai Morgenstern, Nir Shlezinger. tsp, 72:1974-1988, 2024. [doi]

Adaptive Kalmannet: Data-Driven Kalman Filter with Fast AdaptationXiaoyong Ni, Guy Revach, Nir Shlezinger. icassp 2024: 5970-5974 [doi]

Neural Augmented Particle Filtering with Learning Flock of ParticlesItai Nuri, Nir Shlezinger. spawc 2024: 81-85 [doi]

On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless ChannelsAntonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne. TWC, 23(8):10001-10014, August 2024. [doi]

CRC-Aided Learned Ensembles of Belief-Propagation Polar DecodersTomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger. icassp 2024: 8856-8860 [doi]

Multi-Frequency Upper Mid-Band LocalizationTomer Raviv, Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan, Nir Shlezinger. spawc 2024: 736-740 [doi]

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic ChannelsTomer Raviv, Sangwoo Park 0002, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger. wc, 31(4):163-169, August 2024. [doi]

HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG DenoisingGuy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings. tsp, 72:3990-4006, 2024. [doi]

Optimization of Iterative Blind Detection Based on Expectation Maximization and Belief PropagationLuca Schmid, Tomer Raviv, Nir Shlezinger, Laurent Schmalen. acssc 2024: 572-576 [doi]

Artificial Intelligence-Empowered Hybrid Multiple-input/multiple-output Beamforming: Learning to Optimize for High-Throughput Scalable MIMONir Shlezinger, Mengyuan Ma, Ortal Lavi, Nhan Thanh Nguyen, Yonina C. Eldar, Markku J. Juntti. vtm, 19(3):58-67, September 2024. [doi]

Concept Drift Detection for Deep Learning Aided Receivers in Dynamic ChannelsNicole Uzlaner, Tomer Raviv, Nir Shlezinger, Koby Todros. spawc 2024: 371-375 [doi]

Power-Aware Task-Based Learning of Neuromorphic ADCsTal Vol, Loai Danial, Nir Shlezinger. icassp 2024: 5850-5854 [doi]

2023

Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless NetworksEmeka Abakasanga, Nir Shlezinger, Ron Dabora. tvt, 72(9):12234-12247, September 2023. [doi]

Deep Unfolded Superposition Coding Optimization for Two-Hop NOMA MANETsTomer Alter, Nir Shlezinger. milcom 2023: 286-291 [doi]

Generating Artistic Images Via Few-Shot Style TransferItay Buchnik, Or Berebi, Tammy Riklin-Raviv, Nir Shlezinger. icassp 2023: 1-5 [doi]

Learned Kalman Filtering in Latent Space with High-Dimensional DataItay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger. icassp 2023: 1-5 [doi]

LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic ControlSolomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger. icassp 2023: 1-5 [doi]

Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processingSundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu 0005, George C. Alexandropoulos, Stefano Buzzi, Yonina C. Eldar. spm, 40(6):41-62, September 2023. [doi]

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for State EstimationGeon Choi, JeongHun Park, Nir Shlezinger, Yonina C. Eldar, Namyoon Lee. tvt, 72(9):12326-12331, September 2023. [doi]

Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph SignalsLital Dabush, Nir Shlezinger, Tirza Routtenberg. ciss 2023: 1-6 [doi]

Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs TradingHaoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger. icassp 2023: 1-5 [doi]

PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable FadingRashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne. TWC, 22(1):580-595, 2023. [doi]

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical ModelsTomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen. tsp, 71:202-217, 2023. [doi]

Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface AntennasWei Huang, Haiyang Zhang, Nir Shlezinger, Yonina C. Eldar. icassp 2023: 1-5 [doi]

CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive NetworksNatalie Lang, Elad Sofer, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb. icassp 2023: 1-5 [doi]

Joint Privacy Enhancement and Quantization in Federated LearningNatalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger. tsp, 71:295-310, 2023. [doi]

Learn to Rapidly and Robustly Optimize Hybrid PrecodingOrtal Lavi, Nir Shlezinger. tcom, 71(10):5814-5830, October 2023. [doi]

Hierarchical Filtering With Online Learned Priors for ECG DenoisingTimur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings. icassp 2023: 1-5 [doi]

Learning Multi-Rate Vector Quantization for Remote Deep InferenceMay Malka, Shai Ginzach, Nir Shlezinger. icassp 2023: 1-5 [doi]

Fast Deep Unfolded Hybrid Beamforming in Multiuser Large MIMO SystemsNhan Thanh Nguyen, Ly Van Nguyen, Nir Shlezinger, A. Lee Swindlehurst, Markku J. Juntti. acssc 2023: 486-490 [doi]

Joint Communications and Sensing Design for Multi-Carrier MIMO SystemsNhan Thanh Nguyen, Nir Shlezinger, Khac-Hoang Ngo, Van-Dinh Nguyen, Markku J. Juntti. gacm 2023: 110-114 [doi]

Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO SystemsNhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti. icassp 2023: 1-5 [doi]

Multiuser MIMO Wideband Joint Communications and Sensing System With Subcarrier AllocationNhan Thanh Nguyen, Nir Shlezinger, Yonina C. Eldar, Markku J. Juntti. tsp, 71:2997-3013, 2023. [doi]

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO SystemsNhan Thanh Nguyen, Mengyuan Ma, Ortal Lavi, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti. tsp, 71:3788-3804, 2023. [doi]

Distributed Admm with Limited Communications Via Deep UnfoldingYoav Noah, Nir Shlezinger. icassp 2023: 1-5 [doi]

Data Augmentation for Deep ReceiversTomer Raviv, Nir Shlezinger. TWC, 22(11):8259-8274, November 2023. [doi]

Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO ReceiversTomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger. icc 2023: 1032-1037 [doi]

Online Meta-Learning for Hybrid Model-Based Deep ReceiversTomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger. TWC, 22(10):6415-6431, October 2023. [doi]

RTSNet: Learning to Smooth in Partially Known State-Space ModelsGuy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar. tsp, 71:4441-4456, 2023. [doi]

Extended Kalman Filter for Graph Signals in Nonlinear Dynamic SystemsGuy Sagi, Nir Shlezinger, Tirza Routtenberg. icassp 2023: 1-5 [doi]

MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG SignalsBahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad. access, 11:23085-23096, 2023. [doi]

Model-Based Deep LearningNir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis. pieee, 111(5):465-499, May 2023. [doi]

Model-Based Deep LearningNir Shlezinger, Yonina C. Eldar. ftsig, 17(4):291-416, 2023. [doi]

Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]Nir Shlezinger, Tirza Routtenberg. spm, 40(6):75-82, September 2023. [doi]

Deep Root Music Algorithm for Data-Driven Doa EstimationDor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger. icassp 2023: 1-5 [doi]

On the Interpretable Adversarial Sensitivity of Iterative OptimizersElad Sofer, Nir Shlezinger. mlsp 2023: 1-6 [doi]

Outlier-Insensitive Kalman Filtering Using NUV PriorsShunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein. icassp 2023: 1-5 [doi]

Near-field Localization with Dynamic Metasurface AntennasQianyu Yang, Anna Guerra, Francesco Guidi, Nir Shlezinger, Haiyang Zhang, Davide Dardari, Baoyun Wang, Yonina C. Eldar. icassp 2023: 1-5 [doi]

Channel Estimation With Hybrid Reconfigurable Intelligent MetasurfacesHaiyang Zhang, Nir Shlezinger, George C. Alexandropoulos, Avner Shultzman, Idban Alamzadeh, Mohammadreza F. Imani, Yonina C. Eldar. tcom, 71(4):2441-2456, April 2023. [doi]

6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam FocusingHaiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Yonina C. Eldar. cm, 61(4):72-77, April 2023. [doi]

Task-Specific Low-Power Beamforming MIMO Receiver Using 2-Bit Analog-to-Digital ConvertersTimur Zirtiloglu, Peter Crary, Eyyup Tasci, Arslan Riaz, Yonina C. Eldar, Nir Shlezinger, Rabia Tugce Yazicigil. asscc 2023: 1-3 [doi]

2022

Learn to Rapidly Optimize Hybrid PrecodingOrtal Agiv, Nir Shlezinger. spawc 2022: 1-5 [doi]

Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 TestingEyal Fishel Ben-Knaan, Yonina C. Eldar, Nir Shlezinger. icassp 2022: 4518-4522 [doi]

DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency CommunicationsAlejandro Cohen, Amit Solomon, Nir Shlezinger. isit 2022: 2690-2695 [doi]

Symbol-Level Online Channel Tracking for Deep ReceiversRon Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger. icassp 2022: 8897-8901 [doi]

Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate MaximizationKonstantinos D. Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos. icc 2022: 151-156 [doi]

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space ModelsItzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar. icassp 2022: 3194-3198 [doi]

Joint Privacy Enhancement and Quantization in Federated LearningNatalie Lang, Nir Shlezinger. isit 2022: 2040-2045 [doi]

Deep Augmented Music Algorithm for Data-Driven Doa EstimationJulian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun. icassp 2022: 3598-3602 [doi]

On the Acquisition of Stationary Signals Using Uniform ADCSPeter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis. icassp 2022: 5518-5522 [doi]

RTSNet: Deep Learning Aided Kalman SmoothingXiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar. icassp 2022: 5902-5906 [doi]

Adaptive Data Augmentation for Deep ReceiversTomer Raviv, Nir Shlezinger. spawc 2022: 1-5 [doi]

Unsupervised Learned Kalman FilteringGuy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar. eusipco 2022: 1571-1575 [doi]

Personalized Sleep State Classification via Learned Factor GraphsBar Rubinstein, Yoav Filin, Nir Shlezinger, Nariman Farsad. eusipco 2022: 1427-1431 [doi]

CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure DetectionBahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad. icassp 2022: 8677-8681 [doi]

Collaborative Inference for AI-Empowered IoT DevicesNir Shlezinger, Ivan V. Bajic. iotm, 5(4):92-98, 2022. [doi]

Deep Task-Based Analog-to-Digital ConversionNir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar. tsp, 70:6021-6034, 2022. [doi]

Composite Anomaly Detection via Hierarchical Dynamic SearchBenjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen. isit 2022: 2421-2426 [doi]

Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCsTimur Zirtiloglu, Nir Shlezinger, Yonina C. Eldar, Rabia Tugce Yazicigil. icassp 2022: 5338-5342 [doi]

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