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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
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling Judith Butepage Hedvig Kjellström Danica Kragic 84 8 0 24 Sep 2018
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling Judith Butepage Danica Kragic DRL 24 0 0 19 Sep 2018
Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity Xinnuo Xu Ondrej Dusek Ioannis Konstas Verena Rieser 60 65 0 18 Sep 2018
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters Wenhao Ding Wenshuo Wang Ding Zhao 69 13 0 15 Sep 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 52 47 0 06 Sep 2018
Diverse and Coherent Paragraph Generation from Images Moitreya Chatterjee Alex Schwing 70 67 0 03 Sep 2018
Spherical Latent Spaces for Stable Variational Autoencoders Jiacheng Xu Greg Durrett BDL DRL 96 195 0 31 Aug 2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey Xingjian Shi Dit-Yan Yeung AI4TS 70 88 0 21 Aug 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 65 119 0 09 Aug 2018
Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems Van-Khanh Tran Le-Minh Nguyen GAN DRL 62 22 0 08 Aug 2018
Missing Value Imputation Based on Deep Generative Models Hongbao Zhang P. Xie Eric Xing DiffM 46 20 0 05 Aug 2018
3D Conceptual Design Using Deep Learning Zhangsihao Yang Haoliang Jiang Lan Zou 3DPC 16 3 0 05 Aug 2018
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis G. Henter Jaime Lorenzo-Trueba Xin Wang Junichi Yamagishi DRL SSL 88 61 0 30 Jul 2018
Variational Memory Encoder-Decoder Hung Le T. Tran Thin Nguyen Svetha Venkatesh VLM DRL 85 33 0 26 Jul 2018
Learning Plannable Representations with Causal InfoGAN Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel GAN DRL 82 181 0 24 Jul 2018
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech Ming-Yu Liu Kainan Peng Jitong Chen 99 347 0 19 Jul 2018
Latent Alignment and Variational Attention Yuntian Deng Yoon Kim Justin T. Chiu Demi Guo Alexander M. Rush BDL 68 111 0 10 Jul 2018
A Variational Time Series Feature Extractor for Action Prediction Maxime Chaveroche Adrien Malaisé F. Colas François Charpillet S. Ivaldi AI4TS 42 8 0 06 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 158 732 0 03 Jul 2018
The challenge of realistic music generation: modelling raw audio at scale Sander Dieleman Aaron van den Oord Karen Simonyan 95 186 0 26 Jun 2018
Learning what you can do before doing anything Oleh Rybkin Karl Pertsch Konstantinos G. Derpanis Kostas Daniilidis Andrew Jaegle SSL 66 23 0 25 Jun 2018
Variational learning across domains with triplet information Rita Kuznetsova O. Bakhteev Alexandr Ogaltsov DRL 31 0 0 22 Jun 2018
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data Guokun Lai Bohan Li Guoqing Zheng Yiming Yang BDL 76 22 0 15 Jun 2018
Generating Sentences Using a Dynamic Canvas Harshil Shah Bowen Zheng David Barber 68 7 0 13 Jun 2018
Deep State Space Models for Unconditional Word Generation Florian Schmidt Thomas Hofmann 78 14 0 12 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 74 16 0 11 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 71 127 0 08 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 98 263 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 82 105 0 06 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 117 259 0 05 Jun 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 74 29 0 28 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 81 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 108 71 0 19 May 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 142 22 0 18 May 2018
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders F. Bianchi L. Livi Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen AI4TS 84 11 0 09 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng Rajesh Ranganath Jaan Altosaar David M. Blei 66 22 0 03 May 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning Zhan Shi Xinchi Chen Xipeng Qiu Xuanjing Huang 65 104 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 120 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 72 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 100 44 0 17 Apr 2018
Particle-based pedestrian path prediction using LSTM-MDL models Ronny Hug S. Becker Wolfgang Hubner Michael Arens 119 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 181 1,934 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 73 77 0 21 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 108 90 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 111 482 0 13 Mar 2018
Deep reinforcement learning for time series: playing idealized trading games Xiang Gao AI4TS 46 15 0 11 Mar 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 78 273 0 08 Mar 2018
Generating Goal-Directed Visuomotor Plans Based on Learning Using a Predictive Coding-type Deep Visuomotor Recurrent Neural Network Model Minkyu Choi Takazumi Matsumoto Minju Jung Jun Tani 57 4 0 07 Mar 2018
Deep learning algorithm for data-driven simulation of noisy dynamical system K. Yeo Igor Melnyk AI4TS 98 94 0 22 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 112 526 0 21 Feb 2018