Deep Compressed Sensing

16 May 2019

Papers citing "Deep Compressed Sensing"

21 / 21 papers shown

Title
Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment Yi-Jen Yang Ming-Hsun Yang Jwo-Yuh Wu Y.-W. Peter Hong 36 0 0 14 Jun 2024
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 16 0 0 06 Feb 2023
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 19 2 0 30 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 8 51 0 20 Nov 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 38 4 0 11 Oct 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning Kevin Zhang Mingyang Xie Maharshi Gor Yi-Ting Chen Yvonne Zhou Christopher A. Metzler AI4CE 18 5 0 18 Sep 2022
Landscape Learning for Neural Network Inversion Ruoshi Liu Chen-Guang Mao Purva Tendulkar Hongya Wang Carl Vondrick 32 8 0 17 Jun 2022
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification Abhishek Gupta Sruthi Nair Raunak Joshi V. Chitre 21 5 0 25 May 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence Brandon Yushan Feng Mingyang Xie Christopher A. Metzler ViT 20 14 0 13 Mar 2022
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi-An Ma 20 30 0 12 Nov 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection Xu Guo Boyang Albert Li Han Yu C. Miao AAML 12 17 0 19 Apr 2021
Learned Gradient Compression for Distributed Deep Learning L. Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis 32 45 0 16 Mar 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 24 79 0 17 Sep 2020
Multi-Scale Deep Compressive Imaging Thuong Nguyen Canh B. Jeon 13 17 0 03 Aug 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 11 26 0 15 Jun 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 58 36 0 18 Mar 2020
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 13 11 0 14 Feb 2020
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 9 6 0 23 Oct 2019
Bayesian Inference with Generative Adversarial Network Priors Dhruv V. Patel Assad A. Oberai GAN AI4CE 25 17 0 22 Jul 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 308 11,681 0 09 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 226 3,190 0 30 Oct 2016