Taming VAEs

1 October 2018

Danilo Jimenez Rezende

Papers citing "Taming VAEs"

23 / 73 papers shown

Title
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 95 104 0 18 Feb 2020
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 85 42 0 12 Feb 2020
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 92 8 0 11 Nov 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 94 180 0 06 Nov 2019
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations Neha Das Maximilian Karl Philip Becker-Ehmck Patrick van der Smagt 26 2 0 02 Nov 2019
Equivariant Hamiltonian Flows Danilo Jimenez Rezende S. Racanière I. Higgins Peter Toth 93 64 0 30 Sep 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 83 53 0 27 Sep 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 183 309 0 30 Jul 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 79 28 0 25 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 251 778 0 10 Jun 2019
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis Eric Battenberg Soroosh Mariooryad Daisy Stanton RJ Skerry-Ryan Matt Shannon David Kao Tom Bagby BDL 107 45 0 08 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 84 14 0 31 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 84 88 0 30 May 2019
Where is the Information in a Deep Neural Network? Alessandro Achille Giovanni Paolini Stefano Soatto 101 82 0 29 May 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 107 101 0 13 May 2019
Generated Loss and Augmented Training of MNIST VAE Jason Chou DRL GAN 50 5 0 24 Apr 2019
Generated Loss, Augmented Training, and Multiscale VAE Jason Chou Gautam Hathi DRL 51 3 0 23 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 92 28 0 17 Apr 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 59 17 0 15 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 104 272 0 29 Mar 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 112 215 0 06 Feb 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 100 171 0 10 Jan 2019
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt OOD DRL 78 68 0 12 Nov 2018