Disentangled Sequential Autoencoder

8 March 2018

Papers citing "Disentangled Sequential Autoencoder"

12 / 62 papers shown

Title
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 33 159 0 21 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 314 0 07 Feb 2020
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 32 247 0 09 Jul 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 37 88 0 27 May 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P. Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao James Taylor Gerhard Neumann BDL 24 94 0 17 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 34 123 0 03 May 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 54 24 0 11 Apr 2019
Learning Independently-Obtainable Reward Functions Christopher Grimm Satinder Singh 19 4 0 24 Jan 2019
Unsupervised learning with contrastive latent variable models Kristen A. Severson S. Ghosh Kenney Ng SSL DRL 27 38 0 14 Nov 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 32 58 0 05 Oct 2018
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling Judith Butepage Hedvig Kjellström Danica Kragic 56 8 0 24 Sep 2018
InfoCatVAE: Representation Learning with Categorical Variational Autoencoders Edouard Pineau Marc Lelarge DRL 14 13 0 20 Jun 2018