Faster Uncertainty Quantification for Inverse Problems with Conditional
Normalizing Flows

Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows

15 July 2020

Philipp A. Witte

Felix J. Herrmann

ArXiv (abs)PDF HTML

Papers citing "Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows"

16 / 16 papers shown

Title
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization G. Rizzuti Ali Siahkoohi Philipp A. Witte Felix J. Herrmann UQCV 61 20 0 16 Apr 2020
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach Ali Siahkoohi G. Rizzuti Felix J. Herrmann 42 20 0 01 Apr 2020
Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing Bas Peters E. Haber Keegan Lensink AI4CE 47 4 0 16 Mar 2020
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification Ali Siahkoohi G. Rizzuti Felix J. Herrmann UQCV BDL 60 22 0 13 Jan 2020
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 223 225 0 29 Nov 2019
Invert to Learn to Invert P. Putzky Max Welling 52 75 0 25 Nov 2019
Learned imaging with constraints and uncertainty quantification Felix J. Herrmann Ali Siahkoohi G. Rizzuti UQCV 68 23 0 13 Sep 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 80 45 0 25 May 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 295 3,134 0 09 Jul 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 125 3,156 0 29 Nov 2017
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 83 617 0 13 Apr 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 150 810 0 09 Mar 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 266 3,702 0 26 May 2016
Transport map accelerated Markov chain Monte Carlo M. Parno Youssef Marzouk OT 99 161 0 17 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 126 2,261 0 30 Oct 2014

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