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Learning Likelihoods with Conditional Normalizing Flows

29 November 2019

Papers citing "Learning Likelihoods with Conditional Normalizing Flows"

50 / 156 papers shown

Title
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks Zirui Zang Hongrui Zheng Johannes Betz Rahul Mangharam 74 8 0 24 Sep 2022
Collaborative Anomaly Detection Ke Bai Aonan Zhang Zhizhong Li Ricardo Heano Chong-Jun Wang Lawrence Carin 56 1 0 20 Sep 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models John Shelton Hyatt 66 1 0 24 Aug 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 92 14 0 23 Aug 2022
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging Siyuan Dong G. Hangel Eric Z. Chen Shanhui Sun W. Bogner G. Widhalm Chenyu You J. Onofrey Robin A. de Graaf James S. Duncan MedIm 78 5 0 20 Jul 2022
Conditional Permutation Invariant Flows Berend Zwartsenberg Adam Scibior Matthew Niedoba Vasileios Lioutas Yunpeng Liu Justice Sefas Setareh Dabiri J. Lavington Trevor Campbell Frank Wood 56 8 0 17 Jun 2022
Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach Honglin Wen Pierre Pinson Jinghuan Ma Jie Gu Zhijiang Jin 54 25 0 06 Jun 2022
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows Eike Cramer D. Witthaut Alexander Mitsos Manuel Dahmen 75 31 0 27 May 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 86 27 0 24 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 86 32 0 10 May 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 78 16 0 15 Apr 2022
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators Eike Cramer Leonard Paeleke Alexander Mitsos Manuel Dahmen 59 11 0 05 Apr 2022
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow Xiongjie Chen Yunpeng Li 43 7 0 16 Mar 2022
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps Elizabeth Coda Nico Courts Colby Wight Loc Truong W. Choi Charles Godfrey Tegan H. Emerson K. Kappagantula Henry Kvinge AI4CE 399 1 0 15 Mar 2022
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space Emre Aksan Shugao Ma Akin Caliskan Stanislav Pidhorskyi Alexander Richard S. Wei Jason M. Saragih Otmar Hilliges 3DH 40 1 0 15 Mar 2022
Continual Learning with Invertible Generative Models Jary Pomponi Simone Scardapane A. Uncini BDL 96 4 0 11 Feb 2022
Deep Measurement Updates for Bayes Filters Johannes Pankert M. Minniti Lorenz Wellhausen Marco Hutter 56 1 0 01 Dec 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 103 25 0 24 Nov 2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution Andreas Lugmayr Martin Danelljan Feng Yu Luc Van Gool Radu Timofte 57 15 0 05 Nov 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 155 381 0 13 Sep 2021
IICNet: A Generic Framework for Reversible Image Conversion Ka Leong Cheng Yueqi Xie Qifeng Chen 106 25 0 09 Sep 2021
Probabilistic Modeling for Human Mesh Recovery Nikos Kolotouros Georgios Pavlakos Dinesh Jayaraman Kostas Daniilidis 3DH 84 169 0 26 Aug 2021
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling Christos Sakaridis Andreas Lugmayr Peng Sun Martin Danelljan Luc Van Gool Radu Timofte 111 107 0 11 Aug 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 123 119 0 29 Jul 2021
Individual Survival Curves with Conditional Normalizing Flows Guillaume Ausset Tom Ciffreo François Portier Stéphan Clémenccon Timothée Papin 55 4 0 27 Jul 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows Aihua Mao Zihui Du Junhui Hou Yaqi Duan Yong Liu Ying He 3DPC 99 37 0 13 Jul 2021
Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows Vincent Moens Aivar Sootla H. Ammar Jun Wang TPM 67 1 0 06 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 70 24 0 05 Jul 2021
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 77 22 0 01 Jul 2021
Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset Luis Felipe M.O. Henriques S. Colcher Ruy Luiz Milidiú A. Bulcão Pablo Barros 33 2 0 15 Jun 2021
Noise Conditional Flow Model for Learning the Super-Resolution Space Younggeun Kim Donghee Son SupR 81 25 0 06 Jun 2021
CAFLOW: Conditional Autoregressive Flows Georgios Batzolis M. Carioni Christian Etmann S. Afyouni Zoe Kourtzi Carola Bibiane Schönlieb 64 2 0 04 Jun 2021
Semi-Empirical Objective Functions for MCMC Proposal Optimization Chris Cannella Vahid Tarokh 80 1 0 03 Jun 2021
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions Bing Chen Mazharul Islam Jisuo Gao Lin Wang BDL CML 72 7 0 29 May 2021
PassFlow: Guessing Passwords with Generative Flows Giulio Pagnotta Dorjan Hitaj Fabio De Gaspari L. Mancini 70 13 0 13 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 37 5 0 08 May 2021
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics Mohsen Zand Ali Etemad Michael A. Greenspan AI4CE 80 6 0 09 Apr 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 308 429 0 10 Feb 2021
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows Valentin Wolf Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte 101 42 0 14 Jan 2021
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring Luis Felipe M.O. Henriques Eduardo Morgan S. Colcher Ruy Luiz Milidiú 25 0 0 30 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 95 45 0 15 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 166 41 0 26 Oct 2020
Learning to Plan Optimally with Flow-based Motion Planner Tin Lai F. Ramos 62 7 0 21 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 127 12 0 07 Oct 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Yue Liu Kim Ji Eun Ding Zhao AAML 99 105 0 16 Sep 2020
Generative Classifiers as a Basis for Trustworthy Image Classification Radek Mackowiak Lynton Ardizzone Ullrich Kothe Carsten Rother 53 4 0 29 Jul 2020
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows Ali Siahkoohi G. Rizzuti Philipp A. Witte Felix J. Herrmann AI4CE 67 16 0 15 Jul 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows Jary Pomponi Simone Scardapane A. Uncini 48 15 0 05 Jul 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 113 362 0 25 Jun 2020
Improved Conditional Flow Models for Molecule to Image Synthesis Karren D. Yang Samuel Goldman Wengong Jin Alex X. Lu Regina Barzilay Tommi Jaakkola Caroline Uhler MedIm 130 7 0 15 Jun 2020