v1v2v3v4v5v6 (latest)

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
Degeneration in VAE: in the Light of Fisher Information Loss Huangjie Zheng Jiangchao Yao Ya Zhang Ivor W. Tsang DRL 78 17 0 19 Feb 2018
Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks Scott A. Gigante David van Dijk Kevin Moon Alexander Strzalkowski Guy Wolf Smita Krishnaswamy SyDa 14 1 0 10 Feb 2018
Learning and Querying Fast Generative Models for Reinforcement Learning Lars Buesing T. Weber S. Racanière S. M. Ali Eslami Danilo Jimenez Rezende ... Fabio Viola F. Besse Karol Gregor Demis Hassabis Daan Wierstra OffRL 80 135 0 08 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 172 243 0 07 Feb 2018
Probabilistic Recurrent State-Space Models Andreas Doerr Christian Daniel Martin Schiegg D. Nguyen-Tuong S. Schaal Marc Toussaint Sebastian Trimpe 106 123 0 31 Jan 2018
DeepWriting: Making Digital Ink Editable via Deep Generative Modeling Emre Aksan Fabrizio Pece Otmar Hilliges 68 85 0 25 Jan 2018
Variational Recurrent Neural Machine Translation Jinsong Su Shan Wu Deyi Xiong Yaojie Lu Xianpei Han Biao Zhang DRL 75 83 0 16 Jan 2018
PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 80 276 0 28 Dec 2017
Text Generation Based on Generative Adversarial Nets with Latent Variable Heng Wang Zengchang Qin T. Wan GAN 61 39 0 01 Dec 2017
A Neural Stochastic Volatility Model Rui Luo Weinan Zhang Xiaojun Xu Jun Wang BDL 55 60 0 30 Nov 2017
State Space LSTM Models with Particle MCMC Inference Xun Zheng Manzil Zaheer Amr Ahmed Yansen Wang Eric Xing Alex Smola BDL 84 46 0 30 Nov 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge Emmanuel de Bézenac Arthur Pajot Patrick Gallinari PINN AI4CE 125 320 0 21 Nov 2017
A Classifying Variational Autoencoder with Application to Polyphonic Music Generation Jay A. Hennig Akash Umakantha R. Williamson MGen BDL 41 17 0 19 Nov 2017
Variational Bi-LSTMs Samira Shabanian Devansh Arpit Adam Trischler Yoshua Bengio DRL 65 26 0 15 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 93 186 0 15 Nov 2017
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning Shiyue Zhang P. Xie Dong Wang Eric Xing MedIm 48 14 0 12 Nov 2017
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model Zhilin Yang Zihang Dai Ruslan Salakhutdinov William W. Cohen BDL 119 373 0 10 Nov 2017
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization Yoshiaki Bando Masato Mimura Katsutoshi Itoyama Kazuyoshi Yoshii Tatsuya Kawahara 87 120 0 31 Oct 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 152 736 0 29 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 109 285 0 16 Oct 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 65 374 0 12 Oct 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto M. Hebert Byron Boots Kris Kitani J. Andrew Bagnell AI4CE 114 43 0 25 Sep 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 94 354 0 22 Sep 2017
A Deep Generative Framework for Paraphrase Generation Ankush Gupta Arvind Agarwal Prawaan Singh Piyush Rai 69 257 0 15 Sep 2017
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection Joseph D. Futoma S. Hariharan M. Sendak Nathan Brajer M. Clement A. Bedoya Cara O'Brien Katherine A. Heller 73 127 0 19 Aug 2017
Energy-based Models for Video Anomaly Detection H. Vu Dinh Q. Phung T. Nguyen Anthony Trevors Svetha Venkatesh 66 22 0 17 Aug 2017
Anomaly Detection on Graph Time Series Daniel J. Hsu AI4TS 16 8 0 09 Aug 2017
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning Jingkuan Song Yuyu Guo Lianli Gao Xuelong Li Alan Hanjalic Heng Tao Shen 104 222 0 08 Aug 2017
Deep Recurrent Generative Decoder for Abstractive Text Summarization Piji Li Wai Lam Lidong Bing Zihao Wang BDL DRL 81 211 0 02 Aug 2017
SenGen: Sentence Generating Neural Variational Topic Model Ramesh Nallapati Igor Melnyk Abhishek Kumar Bowen Zhou BDL DRL 64 12 0 01 Aug 2017
Human Pose Forecasting via Deep Markov Models Sam Toyer A. Cherian Tengda Han Stephen Gould 77 48 0 24 Jul 2017
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures Gaëtan Hadjeres Frank Nielsen F. Pachet DRL 82 65 0 14 Jul 2017
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model Ahmadreza Ahmadi Jun Tani BDL 46 16 0 30 Jun 2017
A Contemporary Overview of Probabilistic Latent Variable Models Rick Farouni 18 1 0 25 Jun 2017
Generating Long-term Trajectories Using Deep Hierarchical Networks Stephan Zheng Yisong Yue Jennifer Hobbs 84 104 0 21 Jun 2017
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 187 363 0 01 Jun 2017
Auto-Encoding Sequential Monte Carlo T. Le Maximilian Igl Tom Rainforth Tom Jin Frank Wood BDL DRL 345 153 0 29 May 2017
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 152 120 0 27 May 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 260 210 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 242 750 0 24 May 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 51 3 0 24 May 2017
Learning a Hierarchical Latent-Variable Model of 3D Shapes Shikun Liu C. Lee Giles Alexander Ororbia 3DV 54 6 0 17 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 92 31 0 01 May 2017
Sharing deep generative representation for perceived image reconstruction from human brain activity Changde Du Changying Du Huiguang He DiffM 92 55 0 25 Apr 2017
Creativity: Generating Diverse Questions using Variational Autoencoders Unnat Jain Ziyu Zhang Alex Schwing 72 152 0 11 Apr 2017
Bayesian Recurrent Neural Networks Meire Fortunato Charles Blundell Oriol Vinyals BDL 85 186 0 10 Apr 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction Chunting Zhou Graham Neubig DRL BDL 87 55 0 06 Apr 2017
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences Zhiyuan Shi Tae-Kyun Kim 85 79 0 28 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 88 158 0 28 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 110 389 0 27 Feb 2017