A Recurrent Latent Variable Model for Sequential Data

7 June 2015

Aaron Courville

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

50 / 232 papers shown

Title
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention Peng Liu Yuewen Cao Songxiang Liu Na Hu Guangzhi Li Chao Weng Dan Su 42 22 0 12 Feb 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 140 66 0 25 Jan 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 24 71 0 01 Jan 2021
Time Series Domain Adaptation via Sparse Associative Structure Alignment Ruichu Cai Jiawei Chen Zijian Li Wei Chen Keli Zhang Junjian Ye Zhuozhang Li Xiaoyan Yang Zhenjie Zhang CML TTA OOD AI4TS 27 88 0 22 Dec 2020
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 29 8 0 15 Dec 2020
Vertical-Horizontal Structured Attention for Generating Music with Chords Yizhou Zhao Liang Qiu Wensi Ai Feng Shi Song-Chun Zhu MGen 27 2 0 18 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 Oct 2020
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 16 2 0 20 Oct 2020
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model Saeed Ghorbani C. Wloka Ali Etemad M. Brubaker N. Troje 3DV 36 31 0 20 Oct 2020
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 112 46 0 19 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition D. Guo Bo Chen Wenchao Chen Changbo Wang Hongwei Liu Mingyuan Zhou BDL 35 35 0 28 Sep 2020
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data K. Nikolaidis Stein Kristiansen T. Plagemann V. Goebel Knut Liestøl ... G. Traaen Britt Overland Harriet Akre L. Aakerøy S. Steinshamn OOD 40 1 0 22 Sep 2020
Dynamic Future Net: Diversified Human Motion Generation Wenheng Chen He Wang Yi Yuan Tianjia Shao Kun Zhou 3DH 38 22 0 25 Aug 2020
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning Wentao Bao Qi Yu Yu Kong 30 132 0 01 Aug 2020
Perpetual Motion: Generating Unbounded Human Motion Yan Zhang Michael J. Black Siyu Tang 3DH 49 47 0 27 Jul 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 24 61 0 16 Jun 2020
Generating Realistic Stock Market Order Streams Junyi Li Xintong Wang Yaoyang Lin Arunesh Sinha Michael P. Wellman GAN AIFin 29 81 0 07 Jun 2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network Takazumi Matsumoto Jun Tani DRL 16 28 0 27 May 2020
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting Alessio Monti Alessia Bertugli Simone Calderara Rita Cucchiara 25 66 0 26 May 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation Yizhe Zhu Martin Renqiang Min Asim Kadav H. Graf CoGe DRL 27 95 0 23 May 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction Alessia Bertugli Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 31 28 0 17 May 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques R. Prudden Samantha V. Adams D. Kangin Nial H. Robinson Suman V. Ravuri S. Mohamed A. Arribas AI4Cl OffRL 43 45 0 11 May 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation Xinting Huang Jianzhong Qi Yu Sun Rui Zhang OffRL 69 18 0 09 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation Jiyang Gao Chen Sun Hang Zhao Yi Shen Dragomir Anguelov Congcong Li Cordelia Schmid 52 794 0 08 May 2020
Variational Transformers for Diverse Response Generation Zhaojiang Lin Genta Indra Winata Peng Xu Zihan Liu Pascale Fung DRL 11 51 0 28 Mar 2020
Spatio-Temporal Handwriting Imitation Martin Mayr M. Stumpf Anguelos Nicolaou Mathias Seuret Andreas Maier Vincent Christlein 22 12 0 24 Mar 2020
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell David Duvenaud Anna Goldenberg FAtt OOD AI4TS 51 14 0 05 Mar 2020
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network K. Yeo D. E. C. Grullon Fan-Keng Sun Duane S. Boning Jayant Kalagnanam BDL 26 3 0 02 Mar 2020
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 67 57 0 02 Mar 2020
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 26 159 0 21 Feb 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision Arsha Nagrani Joon Son Chung Samuel Albanie Andrew Zisserman SSL 21 88 0 20 Feb 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue Byeongchang Kim Jaewoo Ahn Gunhee Kim BDL 44 167 0 18 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior Guangzhi Sun Yu Zhang Ron J. Weiss Yuan Cao Heiga Zen Andrew Rosenberg Bhuvana Ramabhadran Yonghui Wu DiffM 27 92 0 06 Feb 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 21 59 0 23 Dec 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 28 347 0 04 Nov 2019
A Recurrent Variational Autoencoder for Speech Enhancement Simon Leglaive Xavier Alameda-Pineda Laurent Girin Radu Horaud DRL 14 78 0 24 Oct 2019
Recurrent Attentive Neural Process for Sequential Data Shenghao Qin Jiacheng Zhu Jimmy Qin Wenshuo Wang Ding Zhao BDL AI4TS 27 38 0 17 Oct 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning J. Aneja Harsh Agrawal Dhruv Batra A. Schwing BDL VLM 23 66 0 22 Aug 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks Qi She Anqi Wu BDL 20 34 0 01 Jul 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 40 81 0 24 Jun 2019
Variational Sequential Labelers for Semi-Supervised Learning Mingda Chen Qingming Tang Karen Livescu Kevin Gimpel SSL DRL BDL VLM 19 39 0 23 Jun 2019
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks Shane D. V. Sims Vanessa Putnam Cristina Conati 11 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 27 150 0 19 Jun 2019
Recurrent Neural Processes Timon Willi Jonathan Masci Jürgen Schmidhuber Christian Osendorfer BDL 18 18 0 13 Jun 2019
Deep Factors for Forecasting Bernie Wang Alex Smola Danielle C. Maddix Jan Gasthaus Dean Phillips Foster Tim Januschowski BDL 16 170 0 28 May 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 13 88 0 27 May 2019