Analyzing Inverse Problems with Invertible Neural Networks

14 August 2018

Lena Maier-Hein

Papers citing "Analyzing Inverse Problems with Invertible Neural Networks"

34 / 84 papers shown

Title
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling Jingyun Liang Andreas Lugmayr Kaixuan Zhang Martin Danelljan Luc Van Gool Radu Timofte 37 101 0 11 Aug 2021
Reachability Analysis of Neural Feedback Loops M. Everett Golnaz Habibi Chuangchuang Sun Jonathan P. How 11 53 0 09 Aug 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 28 118 0 29 Jul 2021
Mitigating Generation Shifts for Generalized Zero-Shot Learning Zhi Chen Yadan Luo Sen Wang Ruihong Qiu Jingjing Li Zi Huang 19 25 0 07 Jul 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 16 1 0 23 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 26 4 0 10 Jun 2021
Inverse design of two-dimensional materials with invertible neural networks Victor Fung Jiaxin Zhang Guoxiang Hu P. Ganesh B. Sumpter 20 41 0 06 Jun 2021
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks Friedrich Bethke R. Pausch Patrick Stiller A. Debus Michael Bussmann Nico Hoffmann 23 2 0 01 Jun 2021
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation Lynton Ardizzone Jakob Kruse Carsten T. Lüth Niels Bracher Carsten Rother Ullrich Kothe 13 31 0 05 May 2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery Weibing Zhao Xu Yan Jiantao Gao Ruimao Zhang Jiayan Zhang Zhen Li Song Wu Shuguang Cui 3DPC 16 7 0 30 Apr 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 22 220 0 09 Mar 2021
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence A. Andrle N. Farchmin Paul Hagemann Sebastian Heidenreich V. Soltwisch Gabriele Steidl 66 16 0 05 Feb 2021
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference M. Vandegar Michael Kagan Antoine Wehenkel Gilles Louppe 21 27 0 11 Nov 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 41 8 0 25 Oct 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Bo-wen Li Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli S. Seshia Kurt Keutzer 39 264 0 01 Sep 2020
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks F. Balsiger Alain Jungo Olivier Scheidegger B. Marty M. Reyes 14 3 0 10 Aug 2020
Invertible Neural BRDF for Object Inverse Rendering Zhe Chen S. Nobuhara Ko Nishino BDL AI4CE 30 26 0 10 Aug 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 21 31 0 30 Jul 2020
Invertible Zero-Shot Recognition Flows Yuming Shen Jie Qin Lei Huang BDL AI4CE 19 99 0 09 Jul 2020
Modeling Lost Information in Lossy Image Compression Yaolong Wang Mingqing Xiao Chang-Shu Liu Shuxin Zheng Tie-Yan Liu 24 23 0 22 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Jackson Wang Roger C. Grosse J. Jacobsen 23 92 0 16 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 24 26 0 15 Jun 2020
Invertible Image Rescaling Mingqing Xiao Shuxin Zheng Chang-Shu Liu Yaolong Wang Di He Guolin Ke Jiang Bian Zhouchen Lin Tie-Yan Liu SupR 22 234 0 12 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan Iryna Gurevych Stefan Roth DRL 15 36 0 16 Feb 2020
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers T. Nguyen Animesh Garg Richard G. Baraniuk Anima Anandkumar TPM 28 9 0 09 Dec 2019
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 19 138 0 12 Oct 2019
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation ZENGMING SHEN Yifan Chen S. Kevin Zhou Bogdan Georgescu Xuqi Liu Thomas S. Huang SSL MedIm 16 1 0 09 Sep 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 24 83 0 24 Aug 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 15 146 0 28 May 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 13 45 0 25 May 2019
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 20 617 0 02 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 20 166 0 01 Nov 2018
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015