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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"

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Title
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 69 3 0 16 Jun 2021
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics Taisuke Kobayashi Shingo Murata T. Inamura DRL 51 7 0 16 Jun 2021
Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering Cheng Feng Pengwei Tian AI4TS 78 79 0 15 Jun 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling Xiaoyu Bie Laurent Girin Simon Leglaive Thomas Hueber Xavier Alameda-Pineda 55 12 0 11 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark Coates BDL AI4TS 98 22 0 10 Jun 2021
Bayesian Attention Belief Networks Shujian Zhang Xinjie Fan Bo Chen Mingyuan Zhou BDL 110 32 0 09 Jun 2021
Time-series Imputation of Temporally-occluded Multiagent Trajectories Shayegan Omidshafiei Daniel Hennes M. Garnelo Eugene Tarassov Zhe Wang ... Jerome T. Connor Paul Muller I. Graham W. Spearman K. Tuyls AI4TS 58 5 0 08 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 64 4 0 04 Jun 2021
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports Brandon Victor Aiden Nibali Zhen He D. Carey 34 9 0 01 Jun 2021
Deep Neural Networks and End-to-End Learning for Audio Compression Daniela N. Rim I. Jang Heeyoul Choi 46 9 0 25 May 2021
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators A. Mattick Martin Mayr Mathias Seuret Andreas Maier Vincent Christlein 49 18 0 21 May 2021
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series Shuangshuang Chen Sihao Ding Y. Karayiannidis Mårten Björkman BDL AI4TS 42 2 0 20 May 2021
Move2Hear: Active Audio-Visual Source Separation Sagnik Majumder Ziad Al-Halah Kristen Grauman 65 44 0 15 May 2021
Learning Robust Latent Representations for Controllable Speech Synthesis Shakti Kumar Jithin Pradeep Hussain Zaidi DRL 68 6 0 10 May 2021
Maneuver-Aware Pooling for Vehicle Trajectory Prediction Mohamed Hasan Albert Solernou Evangelos Paschalidis He Wang Gustav Markkula R. Romano 26 19 0 29 Apr 2021
Learning deep autoregressive models for hierarchical data Carl R. Andersson Niklas Wahlström Thomas B. Schon BDL 55 3 0 28 Apr 2021
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting Zexuan Yin P. Barucca BDL 60 4 0 26 Apr 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation Adam Scibior Vasileios Lioutas Daniele Reda Peyman Bateni Frank Wood VGen 113 48 0 22 Apr 2021
Maneuver-based Anchor Trajectory Hypotheses at Roundabouts Mohamed Hasan Evangelos Paschalidis Albert Solernou He Wang Gustav Markkula R. Romano LLMSV 61 3 0 22 Apr 2021
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction Cheol-Hui Min Jinseok Bae Junho Lee Y. Kim 106 8 0 09 Apr 2021
Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures Taisuke Kobayashi Kenta Yoshizawa 27 3 0 01 Apr 2021
Variational Rejection Particle Filtering Rahul Sharma S. Banerjee Dootika Vats Piyush Rai BDL 64 0 0 29 Mar 2021
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition Enrique Sanchez M. Tellamekala Michel Valstar Georgios Tzimiropoulos CVBM 69 29 0 24 Mar 2021
Handling Missing Observations with an RNN-based Prediction-Update Cycle S. Becker Ronny Hug Wolfgang Hubner Michael Arens B. Morris 44 1 0 22 Mar 2021
Few Shot System Identification for Reinforcement Learning Karim Farid Nourhan Sakr 31 2 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
Medical data wrangling with sequential variational autoencoders Daniel Barrejón Pablo Martínez Olmos Antonio Artés-Rodríguez DRL 57 11 0 12 Mar 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks C. Connell Yangkun Wang 46 0 0 12 Mar 2021
Estimation and Planning of Exploration Over Grid Map Using A Spatiotemporal Model with Incomplete State Observations Hyung-Jin Yoon Hunmin Kim K. Shrestha N. Hovakimyan P. Voulgaris 41 7 0 04 Mar 2021
Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework Nadine Wirkuttis Jun Tani 124 14 0 03 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 91 52 0 01 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 102 56 0 25 Feb 2021
Deep Stochastic Volatility Model Xiuqin Xu Ying Chen 30 2 0 25 Feb 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 101 25 0 22 Feb 2021
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving George Eskandar Alexander Braun M. Meinke Karim Armanious Bin Yang 3DV 56 4 0 19 Feb 2021
Clockwork Variational Autoencoders Vaibhav Saxena Jimmy Ba Danijar Hafner VGen DRL 90 49 0 18 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 100 70 0 15 Feb 2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention Peng Liu Yuewen Cao Songxiang Liu Na Hu Guangzhi Li Chao Weng Dan Su 95 22 0 12 Feb 2021
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling Michael A. Alcorn Anh Totti Nguyen 67 19 0 05 Feb 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder Longyuan Li Junchi Yan Haiyang Wang Yaohui Jin BDL AI4TS 85 142 0 02 Feb 2021
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li Junchi Yan Xiaokang Yang Yaohui Jin OOD BDL AI4TS 97 64 0 31 Jan 2021
Probability Trajectory: One New Movement Description for Trajectory Prediction Pei Lv Hui Wei Tianxin Gu Yuzhen Zhang Xiaoheng Jiang Bing Zhou Mingliang Xu 40 0 0 26 Jan 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 209 71 0 25 Jan 2021
Disentangled Sequence Clustering for Human Intention Inference Mark Zolotas Y. Demiris DRL 82 5 0 23 Jan 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 81 33 0 19 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer Maximilian Soelch Atanas Mirchev Baris Kayalibay Patrick van der Smagt 117 15 0 18 Jan 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning L. Zintgraf Sam Devlin K. Ciosek Shimon Whiteson Katja Hofmann BDL 67 45 0 11 Jan 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 84 74 0 01 Jan 2021
Time Series Domain Adaptation via Sparse Associative Structure Alignment Ruichu Cai Jiawei Chen Zijian Li Wei Chen Keli Zhang Junjian Ye Zhuozhang Li Xiaoyan Yang Zhenjie Zhang CML TTA OOD AI4TS 77 92 0 22 Dec 2020
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal S. Ghosh J. Duke B. Malin Walter F. Stewart Jimeng Sun SyDa BDL DRL 121 41 0 18 Dec 2020