Disentangled Sequential Autoencoder

8 March 2018

Papers citing "Disentangled Sequential Autoencoder"

50 / 61 papers shown

Title
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 41 0 0 07 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 44 4 0 07 Oct 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models Reza Abbasi M. Rohban M. Baghshah CoGe 49 5 0 08 Jul 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 62 1 0 10 May 2024
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World Yifei Huang Guo Chen Jilan Xu Mingfang Zhang Lijin Yang ... Hongjie Zhang Lu Dong Yali Wang Limin Wang Yu Qiao EgoV 71 38 0 24 Mar 2024
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification V. M. Eivaghi M. A. Shoorehdeli 39 0 0 26 Dec 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 76 2 0 16 Oct 2023
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies E. Ye Yuhang Wang Hong Zhang Y. Gao Huan Wang H. Sun 40 2 0 23 Aug 2023
Manga Rescreening with Interpretable Screentone Representation M. Xie Chengze Li T. Wong 26 0 0 07 Jun 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 38 25 0 29 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 53 12 0 05 May 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 37 22 0 30 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 31 1 0 24 Mar 2023
Learning Interpretable Low-dimensional Representation via Physical Symmetry Xuanjie Liu Daniel Y. Chin Yichen Huang Gus Xia 31 3 0 05 Feb 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 45 79 0 21 Nov 2022
Predicting Human Mobility via Self-supervised Disentanglement Learning Qiang Gao Jinyung Hong Xovee Xu Ping Kuang Fan Zhou Goce Trajcevski 39 12 0 17 Nov 2022
Temporally Disentangled Representation Learning Weiran Yao Guangyi Chen Kun Zhang CML BDL OOD 37 49 0 24 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 32 9 0 17 Oct 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 33 28 0 19 Jul 2022
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization Kun Xia Le Wang Sanping Zhou Nanning Zheng Wei Tang 44 36 0 23 Jun 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 37 12 0 24 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin Shiqi Wang Haoliang Li CML BDL 28 24 0 16 May 2022
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data John Lim Jan-Michael Frahm Fabian Monrose AAML 75 0 0 05 Apr 2022
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE Xiaoyu Bie Wen Guo Simon Leglaive Laurent Girin Francesc Moreno-Noguer Xavier Alameda-Pineda VGen 3DH 40 13 0 04 Apr 2022
Pixel VQ-VAEs for Improved Pixel Art Representation Akash Saravanan Matthew J. Guzdial 27 8 0 23 Mar 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 64 259 0 16 Mar 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 25 1 0 25 Feb 2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 40 10 0 09 Feb 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 30 17 0 20 Jan 2022
Hamiltonian latent operators for content and motion disentanglement in image sequences Asif Khan Amos Storkey 36 2 0 02 Dec 2021
Online Variational Filtering and Parameter Learning Andrew Campbell Yuyang Shi Tom Rainforth Arnaud Doucet BDL 43 21 0 26 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 39 40 0 22 Oct 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 35 16 0 28 Jul 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling Xiaoyu Bie Laurent Girin Simon Leglaive Thomas Hueber Xavier Alameda-Pineda 28 12 0 11 Jun 2021
Learning Robust Latent Representations for Controllable Speech Synthesis Shakti Kumar Jithin Pradeep Hussain Zaidi DRL 41 6 0 10 May 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 42 54 0 25 Feb 2021
Disentangled Sequence Clustering for Human Intention Inference Mark Zolotas Y. Demiris DRL 24 5 0 23 Jan 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 32 33 0 19 Jan 2021
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation Paul-Gauthier Noé Mohammad MohammadAmini D. Matrouf Titouan Parcollet Andreas Nautsch J. Bonastre 34 28 0 08 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 33 119 0 03 Dec 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 26 4 0 17 Nov 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 22 66 0 27 Oct 2020
Scalable Gaussian Process Variational Autoencoders Metod Jazbec Matthew Ashman Vincent Fortuin Michael Pearce Stephan Mandt Gunnar Rätsch DRL BDL 31 26 0 26 Oct 2020
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 16 2 0 20 Oct 2020
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 112 46 0 19 Oct 2020
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling Hao Hao Tan Dorien Herremans MGen 22 72 0 29 Jul 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 25 93 0 15 Jun 2020
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning Sameer Khurana Antoine Laurent James R. Glass SSL 24 12 0 04 Jun 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation Yizhe Zhu Martin Renqiang Min Asim Kadav H. Graf CoGe DRL 32 95 0 23 May 2020
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network K. Yeo D. E. C. Grullon Fan-Keng Sun Duane S. Boning Jayant Kalagnanam BDL 26 3 0 02 Mar 2020