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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
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 109 25 0 11 Apr 2019
Unsupervised Dialog Structure Learning Weiyan Shi Tiancheng Zhao Zhou Yu DRL 75 44 0 07 Apr 2019
A Variational Auto-Encoder Model for Stochastic Point Processes Nazanin Mehrasa Akash Abdu Jyothi Thibaut Durand Jiawei He Leonid Sigal Greg Mori DRL 57 58 0 05 Apr 2019
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data Zixing Zhang Jing Han Kun Qian C. Janott Yanan Guo Bjoern Schuller 64 43 0 29 Mar 2019
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification Lin Wu Yang Wang Hongzhi Yin Meng Wang Ling Shao 87 81 0 29 Mar 2019
Information Maximizing Visual Question Generation Ranjay Krishna Michael S. Bernstein Li Fei-Fei 131 95 0 27 Mar 2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 88 29 0 25 Mar 2019
Deep Switch Networks for Generating Discrete Data and Language Payam Delgosha Naveen Goela 23 0 0 14 Mar 2019
Elements of Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 75 97 0 12 Mar 2019
Imitation Learning of Factored Multi-agent Reactive Models Michael Teng T. Le Adam Scibior Frank Wood DRL 30 1 0 12 Mar 2019
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra 78 48 0 05 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 83 89 0 25 Feb 2019
FAVAE: Sequence Disentanglement using Information Bottleneck Principle Masanori Yamada Heecheol Kim Kosuke Miyoshi Hiroshi Yamakawa CML DRL CoGe 28 4 0 22 Feb 2019
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI G. Koppe Hazem Toutounji P. Kirsch S. Lis Daniel Durstewitz MedIm 86 78 0 19 Feb 2019
STCN: Stochastic Temporal Convolutional Networks Emre Aksan Otmar Hilliges BDL 59 61 0 18 Feb 2019
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection Duong Nguyen O. Kirsebom F. Frazão Ronan Fablet Stan Matwin 45 5 0 13 Feb 2019
Risk Prediction of Peer-to-Peer Lending Market by a LSTM Model with Macroeconomic Factor Yan Wang X. Ni 13 0 0 13 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 135 22 0 06 Feb 2019
An RNN-based IMM Filter Surrogate S. Becker Ronny Hug Wolfgang Hubner Michael Arens 24 5 0 05 Feb 2019
Re-examination of the Role of Latent Variables in Sequence Modeling Zihang Dai Guokun Lai Yiming Yang Shinjae Yoo BDL DRL 60 4 0 04 Feb 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 116 129 0 29 Jan 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 111 20 0 29 Jan 2019
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction Bryan Lim S. Zohren Stephen J. Roberts BDL AI4TS 61 40 0 23 Jan 2019
Towards Learning to Imitate from a Single Video Demonstration Glen Berseth Florian Golemo C. Pal 68 6 0 22 Jan 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 41 12 0 14 Jan 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 94 171 0 10 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 98 45 0 07 Jan 2019
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler Duo Xu 64 2 0 03 Jan 2019
Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach Yulin Liu M. Hansen 44 56 0 31 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Variational Saccading: Efficient Inference for Large Resolution Images Jason Ramapuram M. Diephuis Frantzeska Lavda Russ Webb Alexandros Kalousis 90 5 0 08 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 195 824 0 06 Dec 2018
Computational Graph Approach for Detection of Composite Human Activities Niko Reunanen V. Könönen Hermanni Hälvä Jani Mäntyjärvi Arttu Lämsä Jussi Liikka 18 1 0 05 Dec 2018
Neural Abstractive Text Summarization with Sequence-to-Sequence Models Tian Shi Yaser Keneshloo Naren Ramakrishnan Chandan K. Reddy 127 234 0 05 Dec 2018
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling Josue Nassar Scott W. Linderman M. Bugallo Il-Su Park AI4CE 155 74 0 29 Nov 2018
Sequential Variational Autoencoders for Collaborative Filtering Noveen Sachdeva Giuseppe Manco Ettore Ritacco Vikram Pudi BDL 75 103 0 25 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 98 851 0 16 Nov 2018
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 87 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 109 105 0 12 Nov 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 158 1,450 0 12 Nov 2018
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems Van-Khanh Tran Le-Minh Nguyen DRL 62 13 0 10 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series Qiang Zhang Kyle Birkeland Yaodong Yang Yixiao Liu 64 9 0 08 Nov 2018
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data M. Rußwurm Antonio Khalil Moretti Ziqiang Wei Shreyas Saxena John P. Cunningham Liam Paninski 64 16 0 06 Nov 2018
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents Sungwon Kim Sang-gil Lee Sibo Zhang Ruigang Yang Jaehyeon Kim Tianyi Zhou 85 424 0 06 Nov 2018
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition Ahmadreza Ahmadi Jun Tani BDL DRL 52 4 0 04 Nov 2018
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning Ahmed Alaa M. Schaar 50 13 0 24 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 89 110 0 09 Oct 2018
Rethinking Recurrent Latent Variable Model for Music Composition E. Koh Shlomo Dubnov Dustin Wright BDL DRL 77 18 0 07 Oct 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 87 58 0 05 Oct 2018
Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences Yi-Ling Qiao Lin Gao Yu-Kun Lai Shihong Xia AI4CE 52 12 0 04 Oct 2018