Model-Based Deep Learning

15 December 2020

Papers citing "Model-Based Deep Learning"

31 / 31 papers shown

Title
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework Ankit Amrutkar Björn Kampa Volkmar Schulz Johannes Stegmaier Markus Rothermel Dorit Merhof 16 0 0 30 Apr 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers Elad Sofer Tomer Shaked Caroline Chaux Nir Shlezinger AAML 33 0 0 26 Apr 2025
Tuning-Free Structured Sparse PCA via Deep Unfolding Networks Long Chen Xianchao Xiu 73 0 0 28 Feb 2025
Neural Augmentation Based Panoramic High Dynamic Range Stitching Chaobing Zheng Yilun Xu Weihai Chen Shiqian Wu Sen Zhang Zhengguo Li 83 0 0 24 Feb 2025
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration Di You P. Dragotti DiffM 35 1 0 23 Jan 2025
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays Baptiste Chatelier José Miguel Mateos-Ramos Vincent Corlay Christian Hager M. Crussiére H. Wymeersch Luc Le Magoarou 67 3 0 06 Nov 2024
AI-Aided Kalman Filters Nir Shlezinger Guy Revach Anubhab Ghosh S. Chatterjee Shuo Tang Tales Imbiriba J. Duník O. Straka Pau Closas Yonina C. Eldar 64 3 0 16 Oct 2024
Model-based learning for multi-antenna multi-frequency location-to-channel mapping Baptiste Chatelier Vincent Corlay M. Crussiére Luc Le Magoarou 24 1 0 17 Jun 2024
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen Mathurin Massias Titouan Vayer 38 0 0 13 Jun 2024
Learning minimal volume uncertainty ellipsoids Itai Alon David Arnon A. Wiesel 30 1 0 03 May 2024
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning Ruihua Han Shuai Wang Shuaijun Wang Zeqing Zhang Jianjun Chen ... Chengyang Li Chengzhong Xu Yonina C. Eldar Qi Hao Jia Pan 3DPC 34 2 0 11 Mar 2024
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs Luca Schmid Tomer Raviv Nir Shlezinger Laurent Schmalen 17 5 0 23 Jan 2024
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 19 5 0 27 Dec 2023
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 21 3 0 12 Dec 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 18 1 0 28 Aug 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks Arindam Chowdhury Gunjan Verma A. Swami Santiago Segarra 11 12 0 02 Apr 2023
Neural-prior stochastic block model O. Duranthon L. Zdeborová 22 3 0 17 Mar 2023
A Model-based GNN for Learning Precoding Jia Guo Chenyang Yang 51 10 0 01 Dec 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 22 29 0 29 Jun 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 29 6 0 16 Jun 2022
Neural Enhancement of Factor Graph-based Symbol Detection Luca Schmid Laurent Schmalen 20 4 0 07 Mar 2022
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care Steffen Gracla Edgar Beck C. Bockelmann Armin Dekorsy 11 1 0 12 Nov 2021
Unsupervised Learned Kalman Filtering Guy Revach Nir Shlezinger Timur Locher Xiaoyong Ni Ruud J. G. van Sloun Yonina C. Eldar SSL 18 30 0 18 Oct 2021
Deep Unrolled Recovery in Sparse Biological Imaging Yair Ben Sahel John P. Bryan B. Cleary Samouil L. Farhi Yonina C. Eldar SyDa 24 16 0 28 Sep 2021
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 20 258 0 21 Jul 2021
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee Yandong Shi Hayoung Choi Yuanming Shi Yong Zhou 12 29 0 19 Jun 2021
Deep Unfolding Network for Image Super-Resolution K. Zhang Luc Van Gool Radu Timofte SupR 108 535 0 23 Mar 2020
Neural Enhanced Belief Propagation on Factor Graphs Victor Garcia Satorras Max Welling 22 94 0 04 Mar 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection Nir Shlezinger Rong Fu Yonina C. Eldar 30 102 0 08 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 87 2,158 0 02 Feb 2017