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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"

35 / 635 papers shown

Title
Generative Temporal Models with Memory Mevlana Gemici Chia-Chun Hung Adam Santoro Greg Wayne S. Mohamed Danilo Jimenez Rezende David Amos Timothy Lillicrap 72 57 0 15 Feb 2017
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose M. R. Sotelo Aaron Courville Yoshua Bengio 113 599 0 22 Dec 2016
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control Natasha Jaques S. Gu Dzmitry Bahdanau José Miguel Hernández-Lobato Richard Turner Douglas Eck 180 173 0 09 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 217 676 0 08 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 84 658 0 08 Nov 2016
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks Hao Wang Xingjian Shi Dit-Yan Yeung BDL 72 102 0 02 Nov 2016
Learning recurrent representations for hierarchical behavior modeling Eyrun Eyjolfsdottir K. Branson Yisong Yue Pietro Perona 100 48 0 01 Nov 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 121 460 0 30 Sep 2016
Multiplicative LSTM for sequence modelling Ben Krause Liang Lu Iain Murray Steve Renals 116 208 0 26 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 217 260 0 07 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 130 538 0 06 Sep 2016
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 74 91 0 22 Aug 2016
Inverting Variational Autoencoders for Improved Generative Accuracy I. Gemp Ishan Durugkar M. Parente M. Dyar Sridhar Mahadevan DRL GAN 42 3 0 21 Aug 2016
Morphological Priors for Probabilistic Neural Word Embeddings Parminder Bhatia Robert Guthrie Jacob Eisenstein 78 42 0 03 Aug 2016
Constructing a Natural Language Inference Dataset using Generative Neural Networks Janez Starc Dunja Mladenić 36 7 0 20 Jul 2016
Neural Net Models for Open-Domain Discourse Coherence Jiwei Li Dan Jurafsky 121 124 0 05 Jun 2016
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation Iulian Serban Tim Klinger Gerald Tesauro Kartik Talamadupula Bowen Zhou Yoshua Bengio Aaron Courville 80 190 0 02 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 279 3,730 0 26 May 2016
Variational Neural Machine Translation Biao Zhang Deyi Xiong Jinsong Su Hong Duan Min Zhang VLM DRL 75 204 0 25 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 129 399 0 24 May 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song Zhe Gan Lawrence Carin 55 10 0 22 May 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 65 375 0 20 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues Iulian Serban Alessandro Sordoni Ryan J. Lowe Laurent Charlin Joelle Pineau Aaron Courville Yoshua Bengio BDL 181 1,108 0 19 May 2016
Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model Kyunghyun Cho 92 63 0 12 May 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 113 49 0 06 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 123 486 0 20 Mar 2016
Variational Neural Discourse Relation Recognizer Biao Zhang Deyi Xiong Jinsong Su Qun Liu Rongrong Ji Hong Duan Min Zhang DRL BDL 70 20 0 12 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji Gholamreza Haffari Jacob Eisenstein BDL 71 125 0 07 Mar 2016
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series Maximilian Sölch Justin Bayer Marvin Ludersdorfer Patrick van der Smagt AI4TS BDL 111 81 0 23 Feb 2016
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks Haanvid Lee Minju Jung Jun Tani 67 20 0 05 Feb 2016
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests N. Razavian David Sontag 102 58 0 25 Nov 2015
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 85 161 0 23 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 119 2,367 0 19 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 96 374 0 16 Nov 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling Zhe Gan Chunyuan Li Ricardo Henao David Carlson Lawrence Carin BDL 86 85 0 23 Sep 2015