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"

50 / 67 papers shown

Title
FRIREN: Beyond Trajectories -- A Spectral Lens on Time Qilin Wang AI4TS 14 0 0 23 May 2025
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 68 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 64 23 0 01 Mar 2024
Variational Autoencoders with Normalizing Flow Decoders Rogan Morrow Wei-Chen Chiu DRL 14 19 0 12 Apr 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Yucen Luo Alex Beatson Mohammad Norouzi Jun Zhu David Duvenaud Ryan P. Adams Ricky T. Q. Chen 77 29 0 01 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 107 10,591 0 17 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 96 1,662 0 05 Dec 2019
Set Flow: A Permutation Invariant Normalizing Flow Kashif Rasul Ingmar Schuster Roland Vollgraf Urs M. Bergmann BDL 3DPC DRL 25 5 0 06 Sep 2019
Accelerated Information Gradient flow Yifei Wang Wuchen Li 46 56 0 04 Sep 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 23 57 0 25 Aug 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions Yang Song Chenlin Meng Stefano Ermon 24 68 0 18 Jul 2019
Stochastic Neural Network with Kronecker Flow Chin-Wei Huang Ahmed Touati Pascal Vincent Gintare Karolina Dziugaite Alexandre Lacoste Aaron Courville BDL 32 8 0 10 Jun 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 14 58 0 06 Jun 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 27 375 0 06 Jun 2019
Leveraging exploration in off-policy algorithms via normalizing flows Bogdan Mazoure T. Doan A. Durand R. Devon Hjelm Joelle Pineau OnRL 35 60 0 16 May 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning Andrei Atanov Alexandra Volokhova Arsenii Ashukha Ivan Sosnovik Dmitry Vetrov BDL 31 42 0 01 May 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 44 622 0 02 Apr 2019
MaCow: Masked Convolutional Generative Flow Xuezhe Ma Xiang Kong Shanghang Zhang Eduard H. Hovy DRL 31 66 0 12 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 42 99 0 07 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 28 213 0 06 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 31 446 0 01 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 34 98 0 30 Jan 2019
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 39 150 0 04 Dec 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 63 621 0 02 Nov 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 40 861 0 02 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 171 3,110 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 164 5,024 0 19 Jun 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 40 87 0 14 Jun 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 54 436 0 03 Apr 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 32 249 0 15 Mar 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 49 29 0 04 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 56 281 0 10 Jan 2018
PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 46 270 0 28 Dec 2017
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 88 857 0 28 Nov 2017
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 36 130 0 25 Nov 2017
Bayesian Hypernetworks David M. Krueger Chin-Wei Huang Riashat Islam Ryan Turner Alexandre Lacoste Aaron Courville UQCV BDL 39 139 0 13 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational Inference Chin-Wei Huang Ahmed Touati Laurent Dinh M. Drozdzal Mohammad Havaei Laurent Charlin Aaron Courville BDL DRL 56 28 0 06 Oct 2017
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez Mengye Ren R. Urtasun Roger C. Grosse 46 545 0 14 Jul 2017
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 51 109 0 23 Jun 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 78 1,340 0 19 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 66 9,509 0 31 Mar 2017
Parallel Multiscale Autoregressive Density Estimation Scott E. Reed Aaron van den Oord Nal Kalchbrenner Sergio Gomez Colmenarejo Ziyun Wang Dan Belov Nando de Freitas BDL 55 204 0 10 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 127 456 0 06 Mar 2017
Calibrating Energy-based Generative Adversarial Networks Zihang Dai Amjad Almahairi Philip Bachman Eduard H. Hovy Aaron Courville GAN 33 110 0 06 Feb 2017
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 47 174 0 29 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction Siddharth Agrawal Ambedkar Dukkipati DRL 3DV BDL 37 13 0 16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 47 340 0 15 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 96 672 0 08 Nov 2016
Generative Adversarial Networks as Variational Training of Energy Based Models Shuangfei Zhai Yu Cheng Rogerio Feris Zhongfei Zhang GAN 19 30 0 06 Nov 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 87 2,490 0 16 Jun 2016