Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent

15 January 2020

Papers citing "Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent"

19 / 19 papers shown

Title
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 71 1,004 0 22 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 231 42,038 0 03 Dec 2019
Degrees of Freedom Analysis of Unrolled Neural Networks Morteza Mardani Qingyun Sun Vardan Papyan S. Vasanawala John M. Pauly D. Donoho UQCV 23 8 0 10 Jun 2019
Learning step sizes for unfolded sparse coding Pierre Ablin Thomas Moreau Mathurin Massias Alexandre Gramfort MQ 50 51 0 27 May 2019
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach Satoshi Takabe Masayuki Imanishi Tadashi Wadayama Ryo Hayakawa Kazunori Hayashi 52 62 0 25 Dec 2018
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds Xiaohan Chen Jialin Liu Zhangyang Wang W. Yin 49 231 0 29 Aug 2018
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging Michael R. Kellman E. Bostan N. Repina Laura Waller 82 125 0 10 Aug 2018
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling Shanshan Wu A. Dimakis Sujay Sanghavi Felix X. Yu D. Holtmann-Rice Dmitry Storcheus Afshin Rostamizadeh Sanjiv Kumar SSL 39 53 0 26 Jun 2018
Neural Proximal Gradient Descent for Compressive Imaging Morteza Mardani Qingyun Sun Shreyas S. Vasawanala Vardan Papyan Hatef Monajemi John M. Pauly D. Donoho 58 154 0 01 Jun 2018
Deep Networks for Compressed Image Sensing Wuzhen Shi F. Jiang Shengping Zhang Debin Zhao 43 137 0 22 Jul 2017
Deep MIMO Detection N. Samuel Tzvi Diskin A. Wiesel 113 407 0 04 Jun 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 44 285 0 21 Apr 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 37 2,110 0 11 Nov 2016
Learning to Decode Linear Codes Using Deep Learning Eliya Nachmani Yair Be’ery D. Burshtein 106 459 0 16 Jul 2016
Maximal Sparsity with Deep Networks? Bo Xin Yizhou Wang Wen Gao David Wipf 3DPC 52 167 0 05 May 2016
Learning optimal nonlinearities for iterative thresholding algorithms Ulugbek S. Kamilov Hassan Mansour 33 108 0 15 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 776 149,474 0 22 Dec 2014
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures J. Hershey Jonathan Le Roux F. Weninger BDL 76 430 0 09 Sep 2014
Learning efficient sparse and low rank models Pablo Sprechmann A. Bronstein Guillermo Sapiro 142 192 0 14 Dec 2012