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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
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction Xue Bai Tasmiah Haque S. Mohan Yuliang Cai Byungheon Jeong Adam Halasz Srinjoy Das 67 1 0 17 Mar 2024
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching Sean Ye Matthew C. Gombolay 91 3 0 16 Mar 2024
Regularization-Based Efficient Continual Learning in Deep State-Space Models Yuanhang Zhang Zhidi Lin Yiyong Sun Feng Yin Carsten Fritsche CLL 63 2 0 15 Mar 2024
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework Yubo Ye Sumeet Vadhavkar Xiajun Jiang R. Missel Huafeng Liu Linwei Wang 57 0 0 13 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 144 12 0 06 Mar 2024
RVRAE: A Dynamic Factor Model Based on Variational Recurrent Autoencoder for Stock Returns Prediction Yilun Wang Shengjie Guo 29 1 0 04 Mar 2024
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games Shiqi Lei Kanghoon Lee Linjing Li Jinkyoo Park Jiachen Li OffRL 87 1 0 28 Feb 2024
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories Bangchao Deng Bingqing Qu Pengyang Wang Dingqi Yang Benjamin Fankhauser Philippe Cudre-Mauroux AI4TS 50 1 0 26 Feb 2024
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation Tonglong Wei Youfang Lin Shengnan Guo Yan Lin YiHeng Huang Chenyang Xiang Yuqing Bai Menglu Ya Huaiyu Wan 85 12 0 12 Feb 2024
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction Jiacheng Liu Jaideep Srivastava 43 0 0 09 Feb 2024
Online Algorithm for Node Feature Forecasting in Temporal Graphs Aniq Ur Rahman J. Coon 51 1 0 30 Jan 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process Guan-Hong Chen Yifan Shen Zhenhao Chen Xiangchen Song Yuewen Sun Weiran Yao Xiao Liu Kun Zhang CML 64 8 0 25 Jan 2024
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection Zhangkai Wu LongBing Cao Qi Zhang Junxian Zhou Hui Chen 134 3 0 07 Jan 2024
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation Hyowon Wi Yehjin Shin Noseong Park BDL AI4TS 101 5 0 27 Dec 2023
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification V. M. Eivaghi M. A. Shoorehdeli 71 0 0 26 Dec 2023
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations Renzhe Zhou Chenxiao Gao Zongzhang Zhang Yang Yu OffRL 101 12 0 26 Dec 2023
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning Jiexi Liu Songcan Chen AI4TS 77 40 0 25 Dec 2023
Online Variational Sequential Monte Carlo Alessandro Mastrototaro Jimmy Olsson BDL OffRL 68 3 0 19 Dec 2023
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 120 9 0 18 Dec 2023
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark Hassan Ismail Fawaz Ganesh Del Grosso Tanguy Kerdoncuff Aurélie Boisbunon Illyyne Saffar AI4TS 68 2 0 15 Dec 2023
Learning Multimodal Latent Dynamics for Human-Robot Interaction V. Prasad Lea Heitlinger Dorothea Koert R. Stock-Homburg Jan Peters Georgia Chalvatzaki 111 3 0 27 Nov 2023
IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction Yuehai Chen HAI 74 13 0 26 Nov 2023
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection Feiyi Chen Yingying Zhang Zhen Qin Lunting Fan Renhe Jiang Yuxuan Liang Qingsong Wen Shuiguang Deng AI4TS 101 5 0 26 Nov 2023
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes Cécile Trottet Manuel Schürch Ahmed Allam Imon Barua L. Petelytska Oliver Distler A. Hoffmann-Vold Michael Krauthammer Eustar collaborators 83 2 0 14 Nov 2023
Proceedings of the 5th International Workshop on Reading Music Systems Jorge Calvo-Zaragoza Alexander Pacha Elona Shatri 43 0 0 07 Nov 2023
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs Ilan Naiman N. Benjamin Erichson Pu Ren Lbnl Michael W. Mahoney ICSI Omri Azencot AI4TS 90 26 0 04 Oct 2023
Interaction-Aware Sampling-Based MPC with Learned Local Goal Predictions Walter Jansma Elia Trevisan Álvaro Serra-Gómez Javier Alonso-Mora 353 2 0 26 Sep 2023
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling Zheng Nan T. Dang V. Sethu Beena Ahmed BDL 51 3 0 21 Sep 2023
Sampling-Free Probabilistic Deep State-Space Models Andreas Look M. Kandemir Barbara Rakitsch Jan Peters 60 2 0 15 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 87 0 0 01 Sep 2023
NAS-X: Neural Adaptive Smoothing via Twisting Dieterich Lawson Michael Y. Li Scott W. Linderman 57 1 0 28 Aug 2023
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder Zheng Liu Xiaohan Li Philip Yu CML 65 1 0 22 Aug 2023
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction Weilong Ding Tianpu Zhang Jianwu Wang Zhuofeng Zhao AI4TS 43 1 0 10 Aug 2023
The Bayesian Context Trees State Space Model for time series modelling and forecasting I. Papageorgiou Ioannis Kontoyiannis AI4TS 67 2 0 02 Aug 2023
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting Wentao Bao Lele Chen Libing Zeng Zhong Li Yinghao Xu Junsong Yuan Yubo Kong 68 16 0 17 Jul 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes Gehua (Marcus) Ma Runhao Jiang Rui Yan Huajin Tang AI4TS 87 7 0 21 Jun 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 63 8 0 20 Jun 2023
Learning Models of Adversarial Agent Behavior under Partial Observability Sean Ye Manisha Natarajan Zixuan Wu Rohan R. Paleja Letian Chen Matthew C. Gombolay AAML 163 6 0 19 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 104 1 0 15 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 49 1 0 14 Jun 2023
Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM Hyunsung Kim Han-Jun Choi Chang Jo Kim Jinsung Yoon Sang-Ki Ko 60 7 0 14 Jun 2023
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes Junn Yong Loo Ze Yang Ding Surya G. Nurzaman C. Ting Vishnu Monn Baskaran Chee Pin Tan OOD 99 0 0 08 Jun 2023
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE Zikai Wei Anyi Rao Bo Dai Dahua Lin 33 4 0 05 Jun 2023
Sampling and Ranking for Digital Ink Generation on a tight computational budget A. Afonin Andrii Maksai A. Timofeev C. Musat DiffM 76 0 0 02 Jun 2023
Graph Neural Processes for Spatio-Temporal Extrapolation Junfeng Hu Yuxuan Liang Zhencheng Fan Hongyang Chen Yu Zheng Roger Zimmermann BDL 76 12 0 30 May 2023
Revisiting Structured Variational Autoencoders Yixiu Zhao Scott W. Linderman BDL DRL 53 9 0 25 May 2023
On the Identifiability of Switching Dynamical Systems Carles Balsells-Rodas Yixin Wang Yingzhen Li 152 5 0 25 May 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 85 8 0 24 May 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks Hemanth Manjunatha A. Pak Dimitar Filev Panagiotis Tsiotras 74 5 0 24 May 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning Jiayu Chen Dipesh Tamboli Tian-Shing Lan Vaneet Aggarwal 85 12 0 22 May 2023