Sequential Neural Models with Stochastic Layers

24 May 2016

Papers citing "Sequential Neural Models with Stochastic Layers"

50 / 223 papers shown

Title
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 26 3 0 22 Feb 2022
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder Xiaoyu Lin Laurent Girin Xavier Alameda-Pineda 18 2 0 18 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 25 119 0 08 Feb 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 25 17 0 20 Jan 2022
Low-Rank Constraints for Fast Inference in Structured Models Justin T. Chiu Yuntian Deng Alexander M. Rush BDL 32 13 0 08 Jan 2022
Estimating the Value-at-Risk by Temporal VAE Robert Sicks S. Grimm R. Korn Ivo Richert 10 6 0 03 Dec 2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan Masayoshi Tomizuka DRL 31 19 0 01 Dec 2021
Modeling Irregular Time Series with Continuous Recurrent Units Mona Schirmer Mazin Eltayeb Stefan Lessmann Maja R. Rudolph BDL AI4TS 22 83 0 22 Nov 2021
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis Antoine Caillon P. Esling DRL 24 109 0 09 Nov 2021
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 25 5 0 08 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
Online Variational Filtering and Parameter Learning Andrew Campbell Yuyang Shi Tom Rainforth Arnaud Doucet BDL 30 21 0 26 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee Narendra Ahuja A. Cherian UQCV VGen BDL 42 17 0 06 Oct 2021
Interpretability in Safety-Critical FinancialTrading Systems Gabriel Deza Adelin Travers C. Rowat Nicolas Papernot AAML AIFin 21 1 0 24 Sep 2021
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 46 17 0 15 Sep 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 29 18 0 30 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural Networks Jin Huang Ming Xiao BDL GNN DRL GAN 27 3 0 10 Aug 2021
Model-Based Reinforcement Learning via Latent-Space Collocation Oleh Rybkin Chuning Zhu Anusha Nagabandi Kostas Daniilidis Igor Mordatch Sergey Levine OffRL 26 38 0 24 Jun 2021
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders Xiaoyu Bie Simon Leglaive Xavier Alameda-Pineda Laurent Girin DiffM 28 55 0 23 Jun 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling Xiaoyu Bie Laurent Girin Simon Leglaive Thomas Hueber Xavier Alameda-Pineda 26 12 0 11 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 33 22 0 10 Jun 2021
Bayesian Attention Belief Networks Shujian Zhang Xinjie Fan Bo Chen Mingyuan Zhou BDL 26 30 0 09 Jun 2021
Deep Neural Networks and End-to-End Learning for Audio Compression Daniela N. Rim I. Jang Heeyoul Choi 20 8 0 25 May 2021
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series Shuangshuang Chen Sihao Ding Y. Karayiannidis Mårten Björkman BDL AI4TS 28 2 0 20 May 2021
Learning deep autoregressive models for hierarchical data Carl R. Andersson Niklas Wahlström Thomas B. Schon BDL 21 3 0 28 Apr 2021
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting Zexuan Yin P. Barucca BDL 13 4 0 26 Apr 2021
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction Cheol-Hui Min Jinseok Bae Junho Lee Y. Kim 19 7 0 09 Apr 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 30 8 0 12 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 30 54 0 25 Feb 2021
Deep Stochastic Volatility Model Xiuqin Xu Ying Chen 14 2 0 25 Feb 2021
Noisy Recurrent Neural Networks S. H. Lim N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 14 52 0 09 Feb 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder Longyuan Li Junchi Yan Haiyang Wang Yaohui Jin BDL AI4TS 37 135 0 02 Feb 2021
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li Junchi Yan Xiaokang Yang Yaohui Jin OOD BDL AI4TS 45 60 0 31 Jan 2021
Disentangled Sequence Clustering for Human Intention Inference Mark Zolotas Y. Demiris DRL 13 5 0 23 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer Maximilian Soelch Atanas Mirchev Baris Kayalibay Patrick van der Smagt 29 15 0 18 Jan 2021
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
A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network Haziq Razali Basura Fernando DRL 21 6 0 11 Dec 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 27 43 0 15 Nov 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
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 8 1 0 17 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 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 13 13 0 04 Sep 2020
Stochastic Graph Recurrent Neural Network Tijin Yan Hongwei Zhang Zirui Li Yuanqing Xia GNN BDL 19 5 0 01 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 23 210 0 28 Aug 2020
Adversarial Generative Grammars for Human Activity Prediction A. Piergiovanni A. Angelova Alexander Toshev Michael S. Ryoo GAN 19 31 0 11 Aug 2020
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning Federico Amato Fabian Guignard Sylvain Robert M. Kanevski AI4Cl AI4CE 13 3 0 23 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories Ruichao Xiao Manish Kumar Singh Rose Yu 36 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 30 6 0 15 Jul 2020