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ORCIDYonina C. Eldar
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- affiliation: Technion - Israel Institute of Technology, Haifa, Israel
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2020 – today
- 2022
[j272]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): 12-18 (2022)- [j271]Rami Nasser
, Yonina C. Eldar, Roded Sharan:
Deep Unfolding for Non-Negative Matrix Factorization with Application to Mutational Signature Analysis. J. Comput. Biol. 29(1): 45-55 (2022) - [j270]Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar:
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding. IEEE J. Sel. Areas Commun. 40(1): 163-181 (2022) - [j269]Fan Liu, Christos Masouros, Jie Xu, Tony Xiao Han, Aboulnasr Hassanien, Yonina C. Eldar, Stefano Buzzi:
Guest Editorial Special Issue on Integrated Sensing and Communication - Part I. IEEE J. Sel. Areas Commun. 40(6): 1723-1727 (2022) - [j268]Fan Liu, Yuanhao Cui, Christos Masouros, Jie Xu, Tony Xiao Han, Yonina C. Eldar, Stefano Buzzi:
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond. IEEE J. Sel. Areas Commun. 40(6): 1728-1767 (2022) - [j267]Fan Liu, Christos Masouros, Jie Xu, Tony Xiao Han, Aboulnasr Hassanien, Yonina C. Eldar, Stefano Buzzi:
Guest Editorial Special Issue on Integrated Sensing and Communication - Part II. IEEE J. Sel. Areas Commun. 40(7): 2007-2010 (2022) - [j266]Björn W. Schuller, Yonina C. Eldar, Maja Pantic, Shrikanth Narayanan, Tuomas Virtanen, Jianhua Tao:
Editorial: Intelligent Signal Analysis for Contagious Virus Diseases. IEEE J. Sel. Top. Signal Process. 16(2): 159-163 (2022) - [j265]Yair Ben Sahel, John P. Bryan, Brian Cleary, Samouil L. Farhi, Yonina C. Eldar:
Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results. IEEE Signal Process. Mag. 39(2): 45-57 (2022) - [j264]Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor:
Federated Learning: A signal processing perspective. IEEE Signal Process. Mag. 39(3): 14-41 (2022) - [j263]Abbas Khalili, Farhad Shirani, Elza Erkip, Yonina C. Eldar:
MIMO Networks With One-Bit ADCs: Receiver Design and Communication Strategies. IEEE Trans. Commun. 70(3): 1580-1594 (2022) - [j262]Spencer A. Markowitz, Corey Snyder, Yonina C. Eldar, Minh N. Do:
Multimodal Unrolled Robust PCA for Background Foreground Separation. IEEE Trans. Image Process. 31: 3553-3564 (2022) - [j261]Oz Frank, Nir Schipper, Mordehay Vaturi, Gino Soldati, Andrea Smargiassi, Riccardo Inchingolo, Elena Torri, Tiziano Perrone, Federico Mento, Libertario Demi, Meirav Galun, Yonina C. Eldar, Shai Bagon:
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19. IEEE Trans. Medical Imaging 41(3): 571-581 (2022) - [j260]Fan Liu, Ya-Feng Liu, Ang Li, Christos Masouros, Yonina C. Eldar:
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming. IEEE Trans. Signal Process. 70: 240-253 (2022) - [j259]Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
Learned Factor Graphs for Inference From Stationary Time Sequences. IEEE Trans. Signal Process. 70: 366-380 (2022) - [j258]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: 1532-1547 (2022) - [j257]Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione:
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis. IEEE Trans. Signal Process. 70: 2136-2151 (2022) - [j256]Ariel Kroizer, Tirza Routtenberg, Yonina C. Eldar:
Bayesian Estimation of Graph Signals. IEEE Trans. Signal Process. 70: 2207-2223 (2022) - [j255]Hila Naaman, Satish Mulleti, Yonina C. Eldar:
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals. IEEE Trans. Signal Process. 70: 2267-2279 (2022) - [j254]Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun:
Deep Unfolding With Normalizing Flow Priors for Inverse Problems. IEEE Trans. Signal Process. 70: 2962-2971 (2022) - [c283]Nishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun:
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound. ICASSP 2022: 1221-1225 - [c282]Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun:
Image Denoising with Deep Unfolding And Normalizing Flows. ICASSP 2022: 1551-1555 - [c281]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: 3194-3198 - [c280]Satish Mulleti, Haiyang Zhang, Yonina C. Eldar:
Learning to Sample for Sparse Signals. ICASSP 2022: 3363-3367 - [c279]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: 4518-4522 - [c278]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: 5338-5342 - [c277]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
On the Acquisition of Stationary Signals Using Uniform ADCS. ICASSP 2022: 5518-5522 - [c276]Eyar Azar, Satish Mulleti, Yonina C. Eldar:
Residual Recovery Algorithm for Modulo Sampling. ICASSP 2022: 5722-5726 - [c275]Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP 2022: 5902-5906 - [c274]Wei Pu, Yonina C. Eldar, Miguel R. D. Rodrigues:
Optimization Guarantees for ISTA and ADMM Based Unfolded Networks. ICASSP 2022: 8687-8691 - [c273]Xiang Liu, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
Transmit Beamforming with Fixed Covariance for Integrated MIMO Radar and Multiuser Communications. ICASSP 2022: 8732-8736 - [c272]Shady Abu Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes:
Image Restoration by Deep Projected GSURE. WACV 2022: 91-100 - [i251]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. CoRR abs/2201.12634 (2022) - [i250]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
On the Acquisition of Stationary Signals Using Uniform ADCs. CoRR abs/2202.05143 (2022) - [i249]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Online Meta-Learning For Hybrid Model-Based Deep Receivers. CoRR abs/2203.14359 (2022) - [i248]Jiahao Huang, Yingying Fang, Yang Nan, Huanjun Wu, Yinzhe Wu, Zhifan Gao, Yang Li, Zidong Wang, Pietro Liò, Daniel Rueckert, Yonina C. Eldar, Guang Yang:
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. CoRR abs/2204.01706 (2022) - [i247]Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans:
Capacity Bounds for One-Bit MIMO Gaussian Channels with Analog Combining. CoRR abs/2204.04033 (2022) - [i246]Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun:
Ultrasound Signal Processing: From Models to Deep Learning. CoRR abs/2204.04466 (2022) - [i245]Xianxin Song, Jie Xu, Fan Liu, Tony Xiao Han, Yonina C. Eldar:
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound Optimization. CoRR abs/2204.11071 (2022) - [i244]Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd:
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. CoRR abs/2205.02640 (2022) - [i243]Yonathan Eder, Yonina C. Eldar:
Sparsity Based Non-Contact Vital Signs Monitoring of Multiple People Via FMCW Radar. CoRR abs/2205.05152 (2022) - [i242]Lei Xie, S. H. Song, Yonina C. Eldar, Khaled B. Letaief:
Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges. CoRR abs/2205.15805 (2022) - [i241]Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, Mérouane Debbah:
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing. CoRR abs/2206.00422 (2022) - [i240]Shuai Wang, Chengyang Li, Qi Hao, Chengzhong Xu, Derrick Wing Kwan Ng, Yonina C. Eldar, H. Vincent Poor:
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification. CoRR abs/2206.01748 (2022) - [i239]Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar:
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming. CoRR abs/2206.03755 (2022) - [i238]Haiyang Zhang, Nir Shlezinger, George C. Alexandropoulos, Idban Alamzadeh, Mohammadreza F. Imani, Yonina C. Eldar:
Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces. CoRR abs/2206.03913 (2022) - [i237]R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri, Yonina C. Eldar:
Beamforming in Integrated Sensing and Communication Systems with Reconfigurable Intelligent Surfaces. CoRR abs/2206.07679 (2022) - 2021
- [j253]Nir Shlezinger, Yonina C. Eldar:
Deep Task-Based Quantization. Entropy 23(1): 104 (2021) - [j252]Yue Gao, Zihang Song, Han Zhang, Sean Fuller, Andrew Lambert, Zhinong Ying, Petri Mähönen, Yonina C. Eldar, Shuguang Cui, Mark D. Plumbley, Clive Parini, Arumugam Nallanathan:
Sub-Nyquist spectrum sensing and learning challenge. Frontiers Comput. Sci. 15(4): 154504 (2021) - [j251]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation. IEEE J. Sel. Top. Signal Process. 15(6): 1348-1364 (2021) - [j250]Vishal Monga, Yuelong Li, Yonina C. Eldar:
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. IEEE Signal Process. Mag. 38(2): 18-44 (2021) - [j249]Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar:
Ensemble Wrapper Subsampling for Deep Modulation Classification. IEEE Trans. Cogn. Commun. Netw. 7(4): 1156-1170 (2021) - [j248]Sean Thammakhoune, Bariscan Yonel, Eric Mason, Birsen Yazici, Yonina C. Eldar:
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization. IEEE Trans. Computational Imaging 7: 1018-1030 (2021) - [j247]Hanqing Wang, Nir Shlezinger, Yonina C. Eldar, Shi Jin, Mohammadreza F. Imani, Insang Yoo, David R. Smith:
Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs. IEEE Trans. Commun. 69(4): 2643-2659 (2021) - [j246]Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi:
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning. IEEE Trans. Medical Imaging 40(3): 829-839 (2021) - [j245]Ge Wang, Mathews Jacob, Xuanqin Mou, Yongyi Shi, Yonina C. Eldar:
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction". IEEE Trans. Medical Imaging 40(11): 2956-2964 (2021) - [j244]Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui:
UVeQFed: Universal Vector Quantization for Federated Learning. IEEE Trans. Signal Process. 69: 500-514 (2021) - [j243]Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard:
Serial Quantization for Sparse Time Sequences. IEEE Trans. Signal Process. 69: 3299-3314 (2021) - [j242]Rong Fu, Yimin Liu, Tianyao Huang, Yonina C. Eldar:
Structured LISTA for Multidimensional Harmonic Retrieval. IEEE Trans. Signal Process. 69: 3459-3472 (2021) - [j241]Siheng Chen, Yonina C. Eldar, Lingxiao Zhao:
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. IEEE Trans. Signal Process. 69: 3699-3713 (2021) - [j240]Georgios K. Papageorgiou, Mathini Sellathurai, Yonina C. Eldar:
Deep Networks for Direction-of-Arrival Estimation in Low SNR. IEEE Trans. Signal Process. 69: 3714-3729 (2021) - [j239]Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar:
Over-the-Air Federated Learning From Heterogeneous Data. IEEE Trans. Signal Process. 69: 3796-3811 (2021) - [j238]Yuhan Li, Tianyao Huang, Xingyu Xu, Yimin Liu, Lei Wang, Yonina C. Eldar:
Phase Transitions in Frequency Agile Radar Using Compressed Sensing. IEEE Trans. Signal Process. 69: 4801-4818 (2021) - [j237]Xiang Liu, Deborah Cohen, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
Unambiguous Delay-Doppler Recovery From Random Phase Coded Pulses. IEEE Trans. Signal Process. 69: 4991-5004 (2021) - [j236]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
Task-Based Analog-to-Digital Converters. IEEE Trans. Signal Process. 69: 5403-5418 (2021) - [j235]Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar:
LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers. IEEE Trans. Signal Process. 69: 5651-5664 (2021) - [j234]Man Luo, Qinghua Guo, Ming Jin, Yonina C. Eldar, Defeng Huang, Xiangming Meng:
Unitary Approximate Message Passing for Sparse Bayesian Learning. IEEE Trans. Signal Process. 69: 6023-6039 (2021) - [j233]Feng Xi, Nir Shlezinger, Yonina C. Eldar:
BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization. IEEE Trans. Signal Process. 69: 6267-6282 (2021) - [j232]Dawei Gao, Qinghua Guo, Yonina C. Eldar:
Massive MIMO as an Extreme Learning Machine. IEEE Trans. Veh. Technol. 70(1): 1046-1050 (2021) - [j231]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar:
Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype. IEEE Trans. Veh. Technol. 70(3): 2283-2298 (2021) - [j230]Nir Shlezinger, Rong Fu, Yonina C. Eldar:
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection. IEEE Trans. Wirel. Commun. 20(2): 1349-1362 (2021) - [j229]Nir Shlezinger, George C. Alexandropoulos, Mohammadreza F. Imani, Yonina C. Eldar, David R. Smith:
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications. IEEE Wirel. Commun. 28(2): 106-113 (2021) - [c271]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar:
A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation. ACSCC 2021: 634-639 - [c270]Liuhang Wang, Nir Shlezinger, George C. Alexandropoulos, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar:
Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems. ACSCC 2021: 715-721 - [c269]Jacob Pritzker, James Ward, Yonina C. Eldar:
Transmit Precoding for Dual-Function Radar-Communication Systems. ACSCC 2021: 1065-1070 - [c268]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar:
Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks. CVPR Workshops 2021: 3209-3214 - [c267]Yair Kittenplon, Yonina C. Eldar, Dan Raviv:
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation. CVPR 2021: 4114-4123 - [c266]Vincent C. H. Leung, Jun-Jie Huang, Yonina C. Eldar, Pier Luigi Dragotti:
Reconstruction of FRI Signals using Autoencoders with Fixed Decoders. EUSIPCO 2021: 1496-1500 - [c265]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
Task-Based Analog-to-Digital Converters for Bandlimited Systems. EUSIPCO 2021: 1985-1989 - [c264]Wanli Ni, Yuanwei Liu, Yonina C. Eldar, Zhaohui Yang, Hui Tian:
Enabling Ubiquitous Non-Orthogonal Multiple Access and Pervasive Federated Learning via STAR-RIS. GLOBECOM 2021: 1-6 - [c263]Alejandro Cohen, Nir Shlezinger, Amit Solomon, Yonina C. Eldar, Muriel Médard:
Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests. ICASSP 2021: 1030-1034 - [c262]Huy Vu, Gene Cheung, Yonina C. Eldar:
Unrolling of Deep Graph Total Variation for Image Denoising. ICASSP 2021: 2050-2054 - [c261]Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues:
REST: Robust lEarned Shrinkage-Thresholding Network Taming Inverse Problems with Model Mismatch. ICASSP 2021: 2885-2889 - [c260]Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar:
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. ICASSP 2021: 2890-2894 - [c259]Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar:
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. ICASSP 2021: 3110-3114 - [c258]Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
Kalmannet: Data-Driven Kalman Filtering. ICASSP 2021: 3905-3909 - [c257]Pranav Goyal, Satish Mulleti, Anubha Gupta, Yonina C. Eldar:
DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing. ICASSP 2021: 4070-4074 - [c256]Feng Xi, Nir Shlezinger, Yonina C. Eldar:
Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs. ICASSP 2021: 4405-4409 - [c255]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas. ICASSP 2021: 4780-4784 - [c254]Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar:
Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling. ICASSP 2021: 5280-5284 - [c253]Siheng Chen, Yonina C. Eldar:
Graph Signal Denoising Via Unrolling Networks. ICASSP 2021: 5290-5294 - [c252]Satish Mulleti, Kiryung Lee, Yonina C. Eldar:
Sub-NYQUIST Multichannel Blind Deconvolution. ICASSP 2021: 5454-5458 - [c251]Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar:
Graph Signal Compression via Task-Based Quantization. ICASSP 2021: 5514-5518 - [c250]Tianyi Liu, Andreas M. Tillmann, Yang Yang, Yonina C. Eldar, Marius Pesavento:
A Parallel Algorithm for Phase Retrieval with Dictionary Learning. ICASSP 2021: 5619-5623 - [c249]Siheng Chen, Yonina C. Eldar:
Time-Varying Graph Signal Inpainting Via Unrolling Networks. ICASSP 2021: 8092-8097 - [c248]Daniel Yaron, Daphna Keidar, Elisha Goldstein, Yair Shachar, Ayelet Blass, Oz Frank, Nir Schipper, Nogah Shabshin, Ahuva Grubstein, Dror Suhami, Naama R. Bogot, Chedva S. Weiss, Eyal Sela, Amiel A. Dror, Mordehay Vaturi, Federico Mento, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Tiziano Perrone, Libertario Demi, Meirav Galun, Shai Bagon, Yishai M. Elyada, Yonina C. Eldar:
Point of Care Image Analysis for COVID-19. ICASSP 2021: 8153-8157 - [c247]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
Bit Constrained Communication Receivers In Joint Radar Communications Systems. ICASSP 2021: 8243-8247 - [c246]Nir Shlezinger, Erez Farhan, Hai Morgenstern, Yonina C. Eldar:
Collaborative Inference via Ensembles on the Edge. ICASSP 2021: 8478-8482 - [c245]Mingzhe Chen, Nir Shlezinger, H. Vincent Poor, Yonina C. Eldar, Shuguang Cui:
Joint Resource Management and Model Compression for Wireless Federated Learning. ICC 2021: 1-6 - [c244]Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang:
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. ICC Workshops 2021: 1-6 - [c243]Yair Ben Sahel, Gilli Dardikman-Yoffe, Yonina C. Eldar, Shirsendu Gosh, Gilad Haran:
Super-Resolved Imaging of Early-Stage Dynamics in the Immune Response. ICIP 2021: 3468-3472 - [c242]Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar:
A Wasserstein Minimax Framework for Mixed Linear Regression. ICML 2021: 2697-2706 - [c241]John P. Bryan, Brian Cleary, Samouil L. Farhi, Yonina C. Eldar:
Sparse Recovery Of Imaging Transcriptomics Data. ISBI 2021: 802-806 - [c240]Kaustav Brahma, Viksit Kumar, Anthony E. Samir, Anantha P. Chandrakasan, Yonina C. Eldar:
Efficient Binary Cnn For Medical Image Segmentation. ISBI 2021: 817-821 - [c239]Zixiang Yang, Qing Shen, Wei Liu, Yonina C. Eldar, Wei Cui:
Extended Cantor Arrays with Hole-Free Fourth-Order Difference Co-Arrays. ISCAS 2021: 1-5 - [c238]Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar:
Model-Inspired Deep Detection with Low-Resolution Receivers. ISIT 2021: 3349-3354 - [c237]Or Bar-Shira, Ahuva Grubstein, Yael Rapson, Dror Suhami, Eli Atar, Keren Peri-Hanania, Ronnie Rosen, Yonina C. Eldar:
Learned Super Resolution Ultrasound for Improved Breast Lesion Characterization. MICCAI (7) 2021: 109-118 - [c236]Seunghoon Lee, Chanho Park, Song-Nam Hong, Yonina C. Eldar, Namyoon Lee:
Soft-Sign Stochastic Gradient Descent Algorithm for Wireless Federated Learning. SPAWC 2021: 241-245 - [c235]Haiyang Zhang, Nir Shlezinger, Idban Alamzadeh, George C. Alexandropoulos, Mohammadreza F. Imani, Yonina C. Eldar:
Channel Estimation with Simultaneous Reflecting and Sensing Reconfigurable Intelligent Metasurfaces. SPAWC 2021: 536-540 - [c234]Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar:
Data-Driven Symbol Detection Via Model-Based Machine Learning. SSP 2021: 571-575 - [c233]Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar, Deniz Gündüz:
Fedrec: Federated Learning of Universal Receivers Over Fading Channels. SSP 2021: 576-580 - [i236]Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
Model-Based Machine Learning for Communications. CoRR abs/2101.04726 (2021) - [i235]Luca D'Alessio, Litian Liu, Ken Duffy, Yonina C. Eldar, Muriel Médard, Mehrtash Babadi:
A Coding Theory Perspective on MultiplexedMolecular Profiling of Biological Tissues. CoRR abs/2101.11123 (2021)