Disentangled State Space Representations

7 June 2019

Ðorðe Miladinovic

Muhammad Waleed Gondal

Stefan Bauer

Papers citing "Disentangled State Space Representations"

20 / 20 papers shown

Title
SGW-based Multi-Task Learning in Vision Tasks Ruiyuan Zhang Yuyao Chen Yuchi Huo Jiaxiang Liu Dianbing Xi Jie Liu Chao Wu 81 1 0 03 Oct 2024
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 216 2 0 16 Oct 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 89 24 0 30 Mar 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 78 34 0 26 Nov 2022
Multi-Task Dynamical Systems Alex Bird Christopher K. I. Williams Christopher Hawthorne AI4TS 38 1 0 08 Oct 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 97 5 0 26 Sep 2022
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 109 61 0 02 Jun 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 42 1 0 25 Feb 2022
Boxhead: A Dataset for Learning Hierarchical Representations Yukun Chen Andrea Dittadi Frederik Trauble Stefan Bauer Bernhard Schölkopf CML 182 2 0 07 Oct 2021
Disentangled Generative Models for Robust Prediction of System Dynamics Stathi Fotiadis Mario Lino Valencia Shunlong Hu Stef Garasto C. Cantwell Anil Anthony Bharath DRL OOD CML 90 10 0 26 Aug 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 76 9 0 16 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 87 8 0 12 Mar 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 90 121 0 03 Dec 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 143 222 0 28 Aug 2020
S2RMs: Spatially Structured Recurrent Modules Nasim Rahaman Anirudh Goyal Muhammad Waleed Gondal M. Wuthrich Stefan Bauer Yash Sharma Yoshua Bengio Bernhard Schölkopf 93 14 0 13 Jul 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 86 117 0 14 Jun 2020
Learning Group Structure and Disentangled Representations of Dynamical Environments Robin Quessard Thomas D. Barrett W. Clements DRL 61 21 0 17 Feb 2020
Deep Variational Luenberger-type Observer for Stochastic Video Prediction Dong Wang Feng Zhou Zheng Yan Guang Yao Zongxuan Liu Wennan Ma Cewu Lu 43 0 0 12 Feb 2020
Customizing Sequence Generation with Multi-Task Dynamical Systems Alex Bird Christopher K. I. Williams AI4CE 65 11 0 11 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 131 54 0 27 Sep 2019