A Recurrent Latent Variable Model for Sequential Data

7 June 2015

Aaron Courville

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

50 / 232 papers shown

Title
Non-Autoregressive Neural Text-to-Speech Kainan Peng Ming-Yu Liu Z. Song Kexin Zhao 29 39 0 21 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 21 161 0 27 Apr 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 45 24 0 11 Apr 2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 15 29 0 25 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 33 89 0 25 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 24 22 0 06 Feb 2019
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care Ziyuan Pan Hao Du K. Ngiam Fei Wang Ping Shum Mengling Feng 11 12 0 14 Jan 2019
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler Duo Xu 18 2 0 03 Jan 2019
Sequential Variational Autoencoders for Collaborative Filtering Noveen Sachdeva Giuseppe Manco Ettore Ritacco Vikram Pudi BDL 18 102 0 25 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 39 825 0 16 Nov 2018
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 27 34 0 13 Nov 2018
Learning Temporal Point Processes via Reinforcement Learning Shuang Li Shuai Xiao Shixiang Zhu Nan Du Yao Xie Le Song AI4TS 8 105 0 12 Nov 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 32 58 0 05 Oct 2018
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling Judith Butepage Hedvig Kjellström Danica Kragic 52 8 0 24 Sep 2018
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters Wenhao Ding Wenshuo Wang Ding Zhao 30 13 0 15 Sep 2018
Diverse and Coherent Paragraph Generation from Images Moitreya Chatterjee A. Schwing 19 66 0 03 Sep 2018
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing Anurag Ajay Jiajun Wu Nima Fazeli Maria Bauzá L. Kaelbling J. Tenenbaum Alberto Rodriguez 32 117 0 09 Aug 2018
Missing Value Imputation Based on Deep Generative Models Hongbao Zhang P. Xie Eric Xing DiffM 22 20 0 05 Aug 2018
Variational Memory Encoder-Decoder Hung Le T. Tran Thin Nguyen Svetha Venkatesh VLM DRL 15 32 0 26 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 40 715 0 03 Jul 2018
The challenge of realistic music generation: modelling raw audio at scale Sander Dieleman Aaron van den Oord Karen Simonyan 21 184 0 26 Jun 2018
Autoencoders for music sound modeling: a comparison of linear, shallow, deep, recurrent and variational models Fanny Roche Thomas Hueber Samuel Limier Laurent Girin 14 16 0 11 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 24 126 0 08 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 21 258 0 06 Jun 2018
A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams Duong Nguyen Rodolphe Vadaine G. Hajduch R. Garello Ronan Fablet 16 101 0 06 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 29 256 0 05 Jun 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 30 29 0 28 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark S. Becker Ronny Hug Wolfgang Hubner Michael Arens 21 70 0 19 May 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 16 22 0 18 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng Rajesh Ranganath Jaan Altosaar David M. Blei 22 22 0 03 May 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning Zhan Shi Xinchi Chen Xipeng Qiu Xuanjing Huang 14 104 0 30 Apr 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 31 28 0 25 Apr 2018
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery Ali Ziat E. Delasalles Ludovic Denoyer Patrick Gallinari BDL AI4TS AI4CE 26 74 0 23 Apr 2018
Learning Awareness Models Brandon Amos Laurent Dinh Serkan Cabi Thomas Rothörl Sergio Gomez Colmenarejo Alistair Muldal Tom Erez Yuval Tassa Nando de Freitas Misha Denil 23 44 0 17 Apr 2018
Particle-based pedestrian path prediction using LSTM-MDL models Ronny Hug S. Becker Wolfgang Hubner Michael Arens 41 32 0 16 Apr 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks Agrim Gupta Justin Johnson Li Fei-Fei Silvio Savarese Alexandre Alahi GAN 117 1,887 0 29 Mar 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 22 77 0 21 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 25 88 0 20 Mar 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 41 474 0 13 Mar 2018
Deep learning algorithm for data-driven simulation of noisy dynamical system K. Yeo Igor Melnyk AI4TS 21 93 0 22 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 48 525 0 21 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Variational Recurrent Neural Machine Translation Jinsong Su Shan Wu Deyi Xiong Yaojie Lu Xianpei Han Biao Zhang DRL 41 83 0 16 Jan 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 36 728 0 29 Oct 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto M. Hebert Byron Boots Kris Kitani J. Andrew Bagnell AI4CE 21 42 0 25 Sep 2017
Energy-based Models for Video Anomaly Detection H. Vu Dinh Q. Phung T. Nguyen Anthony Trevors Svetha Venkatesh 26 22 0 17 Aug 2017
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning Jingkuan Song Yuyu Guo Lianli Gao Xuelong Li Alan Hanjalic Heng Tao Shen 37 219 0 08 Aug 2017
SenGen: Sentence Generating Neural Variational Topic Model Ramesh Nallapati Igor Melnyk Abhishek Kumar Bowen Zhou BDL DRL 24 12 0 01 Aug 2017
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model Ahmadreza Ahmadi Jun Tani BDL 23 16 0 30 Jun 2017