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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
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset Desmond C. Ong Zhengxuan Wu Zhi-Xuan Tan Marianne C. Reddan Isabella Kahhale Alison Mattek Jamil Zaki AI4TS 67 59 0 22 Nov 2019
Working Memory Graphs Ricky Loynd Roland Fernandez Asli Celikyilmaz Adith Swaminathan Matthew J. Hausknecht 72 40 0 17 Nov 2019
Constructing Gradient Controllable Recurrent Neural Networks Using Hamiltonian Dynamics Konstantin Rusch J. Pearson K. Zygalakis 34 0 0 11 Nov 2019
An Information Theory Approach on Deciding Spectroscopic Follow Ups Javiera Astudillo P. Protopapas K. Pichara P. Huijse 13 4 0 06 Nov 2019
Guiding Variational Response Generator to Exploit Persona Bowen Wu Mengyuan Li Zongsheng Wang Yifu Chen Derek F. Wong Qihang Feng Junhong Huang Baoxun Wang 97 47 0 06 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 104 353 0 04 Nov 2019
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations Neha Das Maximilian Karl Philip Becker-Ehmck Patrick van der Smagt 9 2 0 02 Nov 2019
Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders N. Sergin Hao Yan DRL 63 22 0 01 Nov 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 90 31 0 31 Oct 2019
Semi-Implicit Stochastic Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL 58 5 0 28 Oct 2019
Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations Fei Hu Wei Liu Ajmal Mian Li Li 61 0 0 24 Oct 2019
A Recurrent Variational Autoencoder for Speech Enhancement Simon Leglaive Xavier Alameda-Pineda Laurent Girin Radu Horaud DRL 140 79 0 24 Oct 2019
On Predictive Information in RNNs Zhe Dong Deniz Oktay Ben Poole Alexander A. Alemi 40 2 0 21 Oct 2019
Sequential Adversarial Anomaly Detection for One-Class Event Data Shixiang Zhu H. Yuchi Minghe Zhang Yao Xie 80 11 0 21 Oct 2019
Recurrent Attentive Neural Process for Sequential Data Shenghao Qin Jiacheng Zhu Jimmy Qin Wenshuo Wang Ding Zhao BDL AI4TS 81 38 0 17 Oct 2019
Variational Tracking and Prediction with Generative Disentangled State-Space Models A. Akhundov Maximilian Soelch Justin Bayer Patrick van der Smagt BDL DRL 58 3 0 14 Oct 2019
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems Zijian Li Ruichu Cai Kok-Soon Chai H. Ng Hoang Dung Vu Marianne Winslett T. Fu Boyan Xu Xiaoyan Yang Zhenjie Zhang CML AI4TS AI4CE 65 14 0 13 Oct 2019
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt G. Koppe Zahra Monfared Max Beutelspacher Daniel Durstewitz AI4CE 23 6 0 08 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 103 70 0 06 Oct 2019
Variational Temporal Abstraction Taesup Kim Sungjin Ahn Yoshua Bengio DRL 102 65 0 02 Oct 2019
Graph Generation with Variational Recurrent Neural Network Shih-Yang Su Shunwei Lei Greg Mori GAN GNN 99 17 0 02 Oct 2019
Latent-Variable Generative Models for Data-Efficient Text Classification Xiaoan Ding Kevin Gimpel 34 6 0 01 Oct 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 142 338 0 24 Sep 2019
ChOracle: A Unified Statistical Framework for Churn Prediction Ali Khodadadi Seyed Abbas Hosseini Ehsan Pajouheshgar Farnam Mansouri Hamid R. Rabiee AI4TS 39 13 0 15 Sep 2019
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection Yiwei Lu Mahesh Kumar Krishna Reddy Seyed shahabeddin Nabavi Yang Wang DRL 73 95 0 05 Sep 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 76 187 0 26 Aug 2019
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning J. Aneja Harsh Agrawal Dhruv Batra Alex Schwing BDL VLM 85 66 0 22 Aug 2019
Probabilistic Models with Deep Neural Networks A. Masegosa Rafael Cabañas H. Langseth Thomas D. Nielsen Antonio Salmerón BDL 57 12 0 09 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows Hari Prasanna Das Pieter Abbeel C. Spanos DRL AI4CE 59 5 0 05 Aug 2019
Generative Adversarial Network for Handwritten Text Bo Ji Tianyi Chen GAN 53 26 0 27 Jul 2019
Stochastic trajectory prediction with social graph network Lidan Zhang Qi She Ping Guo 87 60 0 24 Jul 2019
Vid2Param: Modelling of Dynamics Parameters from Video Martin Asenov Michael G. Burke Daniel Angelov Todor Davchev Kartic Subr S. Ramamoorthy VGen 47 5 0 15 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 84 18 0 01 Jul 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks Qi She Anqi Wu BDL 56 34 0 01 Jul 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 115 85 0 24 Jun 2019
Variational Sequential Labelers for Semi-Supervised Learning Mingda Chen Qingming Tang Karen Livescu Kevin Gimpel SSL DRL BDL VLM 82 39 0 23 Jun 2019
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks Shane D. V. Sims Vanessa Putnam Cristina Conati 31 4 0 19 Jun 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 107 150 0 19 Jun 2019
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables Lei Shen Yang Feng Haolan Zhan BDL 79 30 0 18 Jun 2019
Recurrent Neural Processes Timon Willi Jonathan Masci Jürgen Schmidhuber Christian Osendorfer BDL 64 18 0 13 Jun 2019
Disentangled State Space Representations Ðorðe Miladinovic Muhammad Waleed Gondal Bernhard Schölkopf J. M. Buhmann Stefan Bauer DRL 51 30 0 07 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 132 2,384 0 06 Jun 2019
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series Zhi-Xuan Tan Harold Soh Desmond C. Ong AI4TS 97 29 0 30 May 2019
Switching Linear Dynamics for Variational Bayes Filtering Philip Becker-Ehmck Jan Peters Patrick van der Smagt BDL 73 47 0 29 May 2019
Deep Factors for Forecasting Bernie Wang Alex Smola Danielle C. Maddix Jan Gasthaus Dean Phillips Foster Tim Januschowski BDL 99 175 0 28 May 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 97 88 0 27 May 2019
Bivariate Beta-LSTM Kyungwoo Song Joonho Jang Seung-Jae Shin Il-Chul Moon 43 6 0 25 May 2019
Non-Autoregressive Neural Text-to-Speech Kainan Peng Ming-Yu Liu Z. Song Kexin Zhao 101 40 0 21 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 151 164 0 27 Apr 2019
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion Lijiang Guo DRL 28 1 0 23 Apr 2019