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A Recurrent Latent Variable Model for Sequential Data

7 June 2015

Aaron Courville

Papers citing "A Recurrent Latent Variable Model for Sequential Data"

50 / 635 papers shown

Title
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia Masayoshi Tomizuka Wei Zhan OOD 82 26 0 03 Dec 2021
Estimating the Value-at-Risk by Temporal VAE Robert Sicks S. Grimm R. Korn Ivo Richert 78 6 0 03 Dec 2021
Active Inference in Robotics and Artificial Agents: Survey and Challenges Pablo Lanillos Cristian Meo Corrado Pezzato A. Meera Mohamed Baioumy ... Alexander Tschantz Beren Millidge M. Wisse Christopher L. Buckley Jun Tani AI4CE 90 83 0 03 Dec 2021
Hamiltonian latent operators for content and motion disentanglement in image sequences Asif Khan Amos Storkey 77 2 0 02 Dec 2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification Junwen Bai Shufeng Kong Carla P. Gomes SSL DRL 72 37 0 02 Dec 2021
Modeling Irregular Time Series with Continuous Recurrent Units Mona Schirmer Mazin Eltayeb Stefan Lessmann Maja R. Rudolph BDL AI4TS 78 93 0 22 Nov 2021
Switching Recurrent Kalman Networks Giao Nguyen-Quynh P. Becker Chen Qiu Maja R. Rudolph Gerhard Neumann BDL 39 4 0 16 Nov 2021
Action2video: Generating Videos of Human 3D Actions Chuan Guo Wei Ji Sen Wang Xinshuang Liu Shihao Zou Minglun Gong Li Cheng 3DH 133 24 0 12 Nov 2021
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis Antoine Caillon P. Esling DRL 68 112 0 09 Nov 2021
DSBERT:Unsupervised Dialogue Structure learning with BERT Bingkun Chen Shaobing Dai Shenghua Zheng Lei Liao Yang Li OffRL 39 3 0 09 Nov 2021
Transferable Time-Series Forecasting under Causal Conditional Shift Zijian Li Ruichu Cai T. Fu Zhifeng Hao Kun Zhang TTA OOD AI4TS 57 25 0 05 Nov 2021
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System K. Yeo Zan Li Wesley M. Gifford SyDa GAN AI4TS AI4CE 101 4 0 04 Nov 2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity Ran Liu Mehdi Azabou M. Dabagia Chi-Heng Lin M. G. Azar Keith B. Hengen Michal Valko Eva L. Dyer OCL SSL DRL 73 37 0 03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 63 98 0 02 Nov 2021
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification Manolis Pitsikalis Thanh-Toan Do A. Lisitsa Shang Luo 33 5 0 01 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 104 32 0 28 Oct 2021
Dream to Explore: Adaptive Simulations for Autonomous Systems Z. Sheikhbahaee Dongshu Luo Blake Vanberlo S. Yun A. Safron Jesse Hoey DRL 46 0 0 27 Oct 2021
Online Variational Filtering and Parameter Learning Andrew Campbell Yuyang Shi Tom Rainforth Arnaud Doucet BDL 86 22 0 26 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 110 42 0 22 Oct 2021
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty Wei Liu Zhilu Lai Kiran Bacsa Eleni Chatzi PINN BDL AI4CE 51 33 0 16 Oct 2021
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Tanmayee Narendra Yingzhen Li Gabriele Schweikert Hedvig Kjellström Yingzhen Li AI4TS BDL CML 172 6 0 12 Oct 2021
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models Jen-Hao Rick Chang A. Shrivastava H. Koppula Xiaoshuai Zhang Oncel Tuzel DiffM 111 16 0 06 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee Narendra Ahuja A. Cherian UQCV VGen BDL 110 18 0 06 Oct 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 95 9 0 30 Sep 2021
Fully Spiking Variational Autoencoder Hiromichi Kamata Yusuke Mukuta Tatsuya Harada BDL DRL 88 43 0 26 Sep 2021
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 110 17 0 15 Sep 2021
A Temporal Variational Model for Story Generation David Wilmot Frank Keller DRL 110 9 0 14 Sep 2021
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction Duong Nguyen Ronan Fablet 98 31 0 08 Sep 2021
Simple Video Generation using Neural ODEs David Kanaa Vikram S. Voleti Samira Ebrahimi Kahou Christopher Pal 50 20 0 07 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 91 45 0 07 Sep 2021
Federated Variational Learning for Anomaly Detection in Multivariate Time Series Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu Haoze Song AI4TS 59 27 0 18 Aug 2021
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies Dominic Roberts Aram Danielyan Hang Chu Mani Golparvar-Fard David A. Forsyth 3DPC 3DV 136 9 0 18 Aug 2021
Conditional Temporal Variational AutoEncoder for Action Video Prediction Xiaogang Xu Yi Wang Liwei Wang Bei Yu Jiaya Jia VGen 73 5 0 12 Aug 2021
Analysis of ODE2VAE with Examples Batuhan Koyuncu DRL 31 0 0 10 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural Networks Jin Huang Ming Xiao BDL GNN DRL GAN 41 3 0 10 Aug 2021
Multimodal Meta-Learning for Time Series Regression Sebastian Pineda-Arango Felix Heinrich Kiran Madhusudhanan Lars Schmidt-Thieme AI4TS 67 15 0 05 Aug 2021
Temporal Dependencies in Feature Importance for Time Series Predictions Kin Kwan Leung Clayton Rooke Jonathan Smith S. Zuberi M. Volkovs OOD AI4TS 77 25 0 29 Jul 2021
Accurate Grid Keypoint Learning for Efficient Video Prediction Xiaojie Gao Yueming Jin Qi Dou Chi-Wing Fu Pheng-Ann Heng VGen 46 17 0 28 Jul 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 108 16 0 28 Jul 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 83 3 0 28 Jul 2021
AI in Finance: Challenges, Techniques and Opportunities LongBing Cao AIFin 98 265 0 20 Jul 2021
CatVRNN: Generating Category Texts via Multi-task Learning Pengsen Cheng Jinqiao Dai Jiayong Liu GAN 30 3 0 12 Jul 2021
MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction S. Becker Ronny Hug Wolfgang Hubner Michael Arens B. Morris 63 4 0 30 Jun 2021
Continuous Latent Process Flows Ruizhi Deng Marcus A. Brubaker Greg Mori Andreas M. Lehrmann AI4TS 268 17 0 29 Jun 2021
Learning and Adaptation for Millimeter-Wave Beam Tracking and Training: a Dual Timescale Variational Framework Muddassar Hussain Nicolò Michelusi 59 24 0 27 Jun 2021
Model-Based Reinforcement Learning via Latent-Space Collocation Oleh Rybkin Chuning Zhu Anusha Nagabandi Kostas Daniilidis Igor Mordatch Sergey Levine OffRL 73 38 0 24 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 107 84 0 24 Jun 2021
Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection Xinyi Wang Lang Tong BDL AI4TS 48 12 0 23 Jun 2021
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders Xiaoyu Bie Simon Leglaive Xavier Alameda-Pineda Laurent Girin DiffM 103 55 0 23 Jun 2021
Goal-Directed Planning by Reinforcement Learning and Active Inference Dongqi Han Kenji Doya Jun Tani 36 2 0 18 Jun 2021