Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models

17 February 2020

Aaron Courville

Papers citing "Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models"

23 / 23 papers shown

Title
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 24 0 0 25 Oct 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 32 20 0 01 Mar 2024
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 35 1 0 26 Feb 2024
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 30 22 0 20 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 19 6 0 04 Aug 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 22 21 0 14 Feb 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 27 27 0 26 Jan 2023
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 34 7 0 25 Oct 2022
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping Aamir Mustafa Param Hanji Rafał K. Mantiuk 27 10 0 30 Sep 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 18 3 0 30 May 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 19 28 0 25 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 24 10 0 14 Mar 2022
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey S. Voloshynovskiy T. Golling TPM 30 4 0 15 Dec 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 19 3 0 25 Nov 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 22 32 0 29 Oct 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 656 0 10 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 477 0 08 Mar 2021
Jacobian Determinant of Normalizing Flows Huadong Liao Jiawei He DRL 11 7 0 12 Feb 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 112 95 0 10 Dec 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 37 176 0 16 Feb 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
MCMC using Hamiltonian dynamics Radford M. Neal 161 3,260 0 09 Jun 2012