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FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals


Jun 10, 2021
Hila Namman, Satish Mulleti, Yonina C. Eldar

* 11 pages, 9 figures 

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Beam Focusing for Near-Field Multi-User MIMO Communications


May 27, 2021
Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar

* This work has been submitted to the IEEE for possible publication 

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Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization


May 05, 2021
Sean Thammakhoune, Bariscan Yonel, Eric Mason, Birsen Yazici, Yonina C. Eldar

* Submitted to IEEE Transactions on Computational Imaging 

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Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications


Apr 10, 2021
George C. Alexandropoulos, Nir Shlezinger, Idban Alamzadeh, Mohammadreza F. Imani, Haiyang Zhang, Yonina C. Eldar

* 7 pages, 6 figures, submitted to an IEEE magazine 

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Federated Learning: A Signal Processing Perspective


Mar 31, 2021
Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor

* 25 pages, 15 figures 

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Bayesian Estimation of Graph Signals


Mar 29, 2021
Ariel Kroizer, Tirza Routtenberg, Yonina C. Eldar


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Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels


Mar 24, 2021
Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang


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Deep Unfolded Recovery of Sub-Nyquist Sampled Ultrasound Image


Mar 01, 2021
Alon Mamistvalov, Yonina C. Eldar


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Structured LISTA for Multidimensional Harmonic Retrieval


Feb 23, 2021
Rong Fu, Yimin Liu, Tianyao Huang, Yonina C. Eldar

* 13 pages,13 figures, 50 references 

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Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning


Feb 08, 2021
Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar

* Accepted to ICASSP 2021 

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LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers


Feb 05, 2021
Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar


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Image Restoration by Deep Projected GSURE


Feb 04, 2021
Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes


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A Coding Theory Perspective on Multiplexed Molecular Profiling of Biological Tissues


Feb 02, 2021
Luca D'Alessio, Litian Liu, Ken Duffy, Yonina C. Eldar, Muriel Medard, Mehrtash Babadi

* This paper is accepted to The International Symposium on Information Theory and Its Applications (ISITA) 2020 

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Cramér-Rao Bound Optimization for Joint Radar-Communication Design


Jan 29, 2021
Fan Liu, Ya-Feng Liu, Ang Li, Christos Masouros, Yonina C. Eldar

* 13 pages, 7 figures, submitted to IEEE for possible publications 

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A Coding Theory Perspective on MultiplexedMolecular Profiling of Biological Tissues


Jan 26, 2021
Luca D'Alessio, Litian Liu, Ken Duffy, Yonina C. Eldar, Muriel Medard, Mehrtash Babadi

* This paper is accepted to The International Symposium on Information Theory and Its Applications (ISITA) 2020 

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Unitary Approximate Message Passing for Sparse Bayesian Learning


Jan 25, 2021
Man Luo, Qinghua Guo, Ming Jin, Yonina C. Eldar, Defeng, Huang, Xiangming Meng


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Model-Based Machine Learning for Communications


Jan 12, 2021
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith

* arXiv admin note: text overlap with arXiv:2002.07806 

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Phase Transitions in Frequency Agile Radar Using Compressed Sensing


Jan 11, 2021
Yuhan Li, Tianyao Huang, Xingyu Xu, Yimin Liu, Yonina C. Eldar


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Bayesian Federated Learning over Wireless Networks


Dec 31, 2020
Seunghoon Lee, Chanho Park, Song-Nam Hong, Yonina C. Eldar, Namyoon Lee

* 30 pages, 7 figures, submitted to IEEE Journal on Selected Areas in Communications 

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Unambiguous Delay-Doppler Recovery from Random Phase Coded Pulses


Dec 22, 2020
Xiang Liu, Deborah Cohen, Tianyao Huang, Yimin Liu, Yonina C. Eldar


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Model-Based Deep Learning


Dec 15, 2020
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis


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FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation


Nov 19, 2020
Yair Kittenplon, Yonina C. Eldar, Dan Raviv


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Statistical model-based evaluation of neural networks


Nov 18, 2020
Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee


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Deep Networks for Direction-of-Arrival Estimation in Low SNR


Nov 17, 2020
Georgios K. Papageorgiou, Mathini Sellathurai, Yonina C. Eldar


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Point of Care Image Analysis for COVID-19


Nov 10, 2020
Daniel Yaron, Daphna Keidar, Elisha Goldstein, Yair Shachar, Ayelet Blass, Oz Frank, Nir Schipper, Nogah Shabshin, Ahuva Grubstein, Dror Suhami, Naama R. Bogot, 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

* Not approved for arXiv 

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Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution


Oct 22, 2020
Bahareh Tolooshams, Satish Mulleti, Demba Ba, Yonina C. Eldar


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Unrolling of Deep Graph Total Variation for Image Denoising


Oct 21, 2020
Huy Vu, Gene Cheung, Yonina C. Eldar


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Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks


Oct 14, 2020
Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar

* 5 pages, 3 figures 

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A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation


Oct 02, 2020
Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis

* 5 pages, accepted for publication 

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Over-the-Air Federated Learning from Heterogeneous Data


Oct 02, 2020
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar

* 15 pages, 8 figures. Part of the results were accepted to be presented in the 2020 IEEE Global Communications Conference (GLOBECOM) 

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