A Recurrent Latent Variable Model for Sequential Data

7 June 2015

Aaron Courville

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

32 / 232 papers shown

Title
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 19 359 0 01 Jun 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 69 728 0 24 May 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences Zhiyuan Shi Tae-Kyun Kim 14 80 0 28 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 33 155 0 28 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 24 383 0 27 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 38 595 0 22 Dec 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks Hao Wang Xingjian Shi Dit-Yan Yeung BDL 15 101 0 02 Nov 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 16 452 0 30 Sep 2016
Multiplicative LSTM for sequence modelling Ben Krause Liang Lu Iain Murray Steve Renals 35 208 0 26 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 35 254 0 07 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 40 534 0 06 Sep 2016
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 24 89 0 22 Aug 2016
Inverting Variational Autoencoders for Improved Generative Accuracy I. Gemp Ishan Durugkar M. Parente M. Dyar Sridhar Mahadevan DRL GAN 23 3 0 21 Aug 2016
Neural Net Models for Open-Domain Discourse Coherence Jiwei Li Dan Jurafsky 32 123 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 13 190 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 97 3,647 0 26 May 2016
Variational Neural Machine Translation Biao Zhang Deyi Xiong Jinsong Su Hong Duan Min Zhang VLM DRL 32 203 0 25 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 65 393 0 24 May 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song Zhe Gan Lawrence Carin 21 10 0 22 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 51 1,104 0 19 May 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 21 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 22 482 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 17 19 0 12 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji Gholamreza Haffari Jacob Eisenstein BDL 23 126 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 11 81 0 23 Feb 2016
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 23 160 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 34 2,341 0 19 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 19 370 0 16 Nov 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling Zhe Gan Chunyuan Li Ricardo Henao David Carlson Lawrence Carin BDL 16 85 0 23 Sep 2015