Composing Normalizing Flows for Inverse Problems

26 February 2020

Papers citing "Composing Normalizing Flows for Inverse Problems"

50 / 50 papers shown

Title
Accelerate TarFlow Sampling with GS-Jacobi Iteration Ben Liu Zhen Qin 45 0 0 19 May 2025
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 96 8 0 29 May 2024
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation Elad Richardson Yuval Alaluf Or Patashnik Yotam Nitzan Yaniv Azar Stav Shapiro Daniel Cohen-Or 92 1,103 0 03 Aug 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 38 526 0 12 May 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 220 545 0 08 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 113 1,662 0 05 Dec 2019
Flow Models for Arbitrary Conditional Likelihoods Yongqian Li Shoaib Akbar Junier B. Oliva OOD AI4CE 17 39 0 13 Sep 2019
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett 56 40 0 28 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 32 12 0 01 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 129 3,803 0 12 Jul 2019
Guided Image Generation with Conditional Invertible Neural Networks Lynton Ardizzone Carsten T. Lüth Jakob Kruse Carsten Rother Ullrich Kothe DRL 28 295 0 04 Jul 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 90 761 0 10 Jun 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 16 58 0 06 Jun 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 78 149 0 28 May 2019
Block Coordinate Regularization by Denoising Yu Sun Jiaming Liu Ulugbek S. Kamilov 39 84 0 13 May 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning Andrei Atanov Alexandra Volokhova Arsenii Ashukha Ivan Sosnovik Dmitry Vetrov BDL 33 42 0 01 May 2019
Pluralistic Image Completion Chuanxia Zheng Tat-Jen Cham Jianfei Cai 32 454 0 11 Mar 2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport Matthew Hoffman Pavel Sountsov Joshua V. Dillon I. Langmore Dustin Tran Srinivas Vasudevan BDL 40 105 0 09 Mar 2019
Asymptotics of MAP Inference in Deep Networks Parthe Pandit Mojtaba Sahraee S. Rangan A. Fletcher 49 21 0 01 Mar 2019
Learning about an exponential amount of conditional distributions Mohamed Ishmael Belghazi Maxime Oquab Yann LeCun David Lopez-Paz BDL SSL 26 28 0 22 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 33 446 0 01 Feb 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 15 53 0 26 Dec 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 65 621 0 02 Nov 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 55 284 0 02 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 184 3,110 0 09 Jul 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 28 146 0 06 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 55 154 0 01 Jun 2018
SUNLayer: Stable denoising with generative networks D. Mixon Soledad Villar 43 21 0 25 Mar 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees Viraj Shah Chinmay Hegde GAN 86 165 0 23 Feb 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks Maya Kabkab Pouya Samangouei Rama Chellappa GAN 48 78 0 05 Feb 2018
Generative Image Inpainting with Contextual Attention Jiahui Yu Zhe Lin Jimei Yang Xiaohui Shen Xin Lu Thomas S. Huang GAN DiffM 58 2,255 0 24 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 199 11,610 0 11 Jan 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 60 281 0 10 Jan 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 107 857 0 28 Nov 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 55 140 0 15 Nov 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton SyDa GAN 41 676 0 22 May 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 73 804 0 09 Mar 2017
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 75 1,002 0 07 Nov 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 74 1,805 0 15 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 328 8,999 0 10 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 157 3,670 0 26 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 29 5,277 0 25 Apr 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 154 4,748 0 04 Jan 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 226 4,143 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 519 149,474 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 189 10,365 0 06 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 69 2,246 0 30 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 321 16,972 0 20 Dec 2013
MCMC using Hamiltonian dynamics Radford M. Neal 280 3,278 0 09 Jun 2012
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 265 2,527 0 07 Jan 2008