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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"

50 / 635 papers shown

Title
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 58 8 0 15 Dec 2020
A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network Haziq Razali Basura Fernando DRL 55 6 0 11 Dec 2020
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems Ryan Lopez P. Atzberger DRL AI4CE 60 13 0 07 Dec 2020
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification Ahmadreza Ahmadi T. Nygaard N. Kottege David Howard N. Hudson 51 11 0 24 Nov 2020
Vertical-Horizontal Structured Attention for Generating Music with Chords Yizhou Zhao Liang Qiu Wensi Ai Feng Shi Song-Chun Zhu MGen 49 2 0 18 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 95 45 0 15 Nov 2020
Diffusion models for Handwriting Generation Troy Luhman Eric Luhman DiffM 82 25 0 13 Nov 2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data Alex Boyd Robert Bamler Stephan Mandt Padhraic Smyth 39 20 0 06 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 114 40 0 27 Oct 2020
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems Farzaneh Khoshnevisan Min Chi OOD 39 13 0 26 Oct 2020
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 183 62 0 20 Oct 2020
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 62 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 78 32 0 20 Oct 2020
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 183 47 0 19 Oct 2020
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians B. Brito Hai Zhu Wei Pan Javier Alonso-Mora 3DH DRL 66 29 0 18 Oct 2020
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter Tsuyoshi Ishizone T. Higuchi Kazuyuki Nakamura BDL 35 1 0 17 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 125 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 86 36 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 82 1 0 22 Sep 2020
Structured Attention for Unsupervised Dialogue Structure Induction Liang Qiu Yizhou Zhao Weiyan Shi Yuan Liang Feng Shi Tao Yuan Zhou Yu Song-Chun Zhu 63 33 0 17 Sep 2020
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 59 13 0 04 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 143 222 0 28 Aug 2020
Generating Handwriting via Decoupled Style Descriptors Atsunobu Kotani Stefanie Tellex James Tompkin 72 25 0 26 Aug 2020
Improving Fair Predictions Using Variational Inference In Causal Models Rik Helwegen Christos Louizos Patrick Forré FaML 61 6 0 25 Aug 2020
Dynamic Future Net: Diversified Human Motion Generation Wenheng Chen He Wang Yi Yuan Tianjia Shao Kun Zhou 3DH 96 23 0 25 Aug 2020
Learning to Set Waypoints for Audio-Visual Navigation Changan Chen Sagnik Majumder Ziad Al-Halah Ruohan Gao Santhosh Kumar Ramakrishnan Kristen Grauman SSL 94 5 0 21 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 70 8 0 18 Aug 2020
Bayesian neural networks and dimensionality reduction Deborshee Sen Theodore Papamarkou David B. Dunson BDL 61 5 0 18 Aug 2020
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li Benjamin M. Marlin AI4TS 55 56 0 17 Aug 2020
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music Ziyu Wang Yiyi Zhang Yixiao Zhang Junyan Jiang Ruihan Yang Jiaqi Zhao Gus Xia 128 55 0 17 Aug 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation Hongyu Ren Yuke Zhu J. Leskovec Anima Anandkumar Animesh Garg LRM 47 4 0 17 Aug 2020
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean Duong Nguyen Matthieu Simonin G. Hajduch Rodolphe Vadaine Cédric Tedeschi Ronan Fablet 31 10 0 12 Aug 2020
Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma Siwei Chen David Hsu W. Lee OffRL 74 23 0 06 Aug 2020
FRMDN: Flow-based Recurrent Mixture Density Network S. Razavi Reshad Hosseini Tina Behzad BDL 28 0 0 05 Aug 2020
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning Wentao Bao Qi Yu Yu Kong 92 146 0 01 Aug 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 158 30 0 31 Jul 2020
Perpetual Motion: Generating Unbounded Human Motion Yan Zhang Michael J. Black Siyu Tang 3DH 104 47 0 27 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories Ruichao Xiao Manish Kumar Singh Rose Yu 122 2 0 16 Jul 2020
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction Alice Martin Charles Ollion Florian Strub Sylvain Le Corff Olivier Pietquin 55 6 0 15 Jul 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model Junwen Bai Shufeng Kong Carla P. Gomes DRL 60 53 0 12 Jul 2020
Representation Learning via Adversarially-Contrastive Optimal Transport A. Cherian Shuchin Aeron OT 40 7 0 11 Jul 2020
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling Keisuke Fujii Naoya Takeishi Yoshinobu Kawahara K. Takeda 68 9 0 07 Jul 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 100 1,217 0 06 Jul 2020
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition Hengguan Huang Fuzhao Xue Hongya Wang Ye Wang BDL 41 18 0 04 Jul 2020
Semi-supervised Sequential Generative Models Michael Teng T. Le Adam Scibior Frank Wood BDL AI4TS 55 3 0 30 Jun 2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference Polina Zablotskaia E. Dominici Leonid Sigal Andreas M. Lehrmann OCL 145 20 0 25 Jun 2020
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics Pantelis R. Vlachas G. Arampatzis Caroline Uhler Petros Koumoutsakos AI4CE 107 150 0 24 Jun 2020
Learning Disentangled Representations of Video with Missing Data Armand Comas Massague Chi Zhang Z. Feric Mario Sznaier Rose Yu DRL 54 16 0 23 Jun 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 105 95 0 23 Jun 2020
Continual Learning in Recurrent Neural Networks Benjamin Ehret Christian Henning Maria R. Cervera Alexander Meulemans J. Oswald Benjamin Grewe CLL 83 9 0 22 Jun 2020