Dynamical Variational Autoencoders: A Comprehensive Review

28 August 2020

Xavier Alameda-Pineda

BDL

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Papers citing "Dynamical Variational Autoencoders: A Comprehensive Review"

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Title
Generative Models for Long Time Series: Approximately Equivariant Recurrent Network Structures for an Adjusted Training Scheme Ruwen Fulek Markus Lange-Hegermann AI4TS 40 0 0 08 May 2025
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems Zhidi Lin Ying Li Feng Yin Juan Maroñas Alexandre Thiéry 51 0 0 24 Mar 2025
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 28 0 0 14 Oct 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 26 24 0 15 Feb 2024
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach Haiyang Zhang Qiuyi Chen Yuanjie Zou Yushan Pan Jia Wang Mark Stevenson 11 0 0 20 Jan 2024
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification V. M. Eivaghi M. A. Shoorehdeli 23 0 0 26 Dec 2023
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation Chenwei Tang Wenqiang Zhou Dong Wang Caiyang Yu Zhenan He ... Shudong Huang Yi Gao Jianming Chen Wentao Feng Jiancheng Lv AI4CE 28 0 0 07 Nov 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 63 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 31 2 0 23 Aug 2023
Active Sensing with Predictive Coding and Uncertainty Minimization A. Sharafeldin N. Imam Hannah Choi 20 2 0 02 Jul 2023
DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup Anubhab Ghosh Antoine Honoré S. Chatterjee 21 19 0 04 Jun 2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts Jan Achterhold Philip Tobuschat Hao Ma Dieter Buechler Michael Muehlebach Joerg Stueckler 14 6 0 24 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 23 11 0 05 May 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 38 5 0 06 Apr 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 22 21 0 30 Mar 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 18 9 0 15 Dec 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems W. Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 30 16 0 09 Oct 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models Julius Richter Simon Welker Jean-Marie Lemercier Bunlong Lay Timo Gerkmann DiffM 11 178 0 11 Aug 2022
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures Zhilu Lai Wei Liu Xudong Jian Kiran Bacsa Limin Sun Eleni Chatzi AI4CE 21 22 0 16 Jul 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions Ryan Lopez P. Atzberger AI4CE 24 7 0 10 Jun 2022
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 128 349 0 21 May 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 32 13 0 04 Apr 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 18 17 0 20 Jan 2022
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty Wei Liu Zhilu Lai Kiran Bacsa Eleni Chatzi PINN BDL AI4CE 18 33 0 16 Oct 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 43 17 0 30 Jun 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling Xiaoyu Bie Laurent Girin Simon Leglaive Thomas Hueber Xavier Alameda-Pineda 18 12 0 11 Jun 2021
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement M. Sadeghi Xavier Alameda-Pineda 13 21 0 23 Dec 2019
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 34 69 0 26 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016