Learning Stochastic Recurrent Networks

27 November 2014

Papers citing "Learning Stochastic Recurrent Networks"

50 / 60 papers shown

Title
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification V. M. Eivaghi M. A. Shoorehdeli 34 0 0 26 Dec 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 71 2 0 16 Oct 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes Gehua (Marcus) Ma Runhao Jiang Rui Yan Huajin Tang AI4TS 42 6 0 21 Jun 2023
Variational Heteroscedastic Volatility Model Zexuan Yin P. Barucca AI4TS 23 0 0 11 Apr 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 32 10 0 23 Mar 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 59 257 0 16 Mar 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 26 3 0 22 Feb 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
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty Wei Liu Zhilu Lai Kiran Bacsa Eleni Chatzi PINN BDL AI4CE 20 33 0 16 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
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
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems Haitao Liu Changjun Liu Xiaomo Jiang Xudong Chen Shuhua Yang Xiaofang Wang BDL AI4TS 44 2 0 03 Jun 2021
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets Jia Wang Tong Sun Benyuan Liu Yu Cao Hongwei Zhu AI4TS 23 63 0 08 Apr 2021
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 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
Dynamic Future Net: Diversified Human Motion Generation Wenheng Chen He Wang Yi Yuan Tianjia Shao Kun Zhou 3DH 38 22 0 25 Aug 2020
Perpetual Motion: Generating Unbounded Human Motion Yan Zhang Michael J. Black Siyu Tang 3DH 49 47 0 27 Jul 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
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 26 159 0 21 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
Recurrent Neural Processes Timon Willi Jonathan Masci Jürgen Schmidhuber Christian Osendorfer BDL 18 18 0 13 Jun 2019
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering Weichang Wu Junchi Yan Xiaokang Yang H. Zha 13 3 0 29 May 2019
Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models Yaniv Shulman DRL 16 6 0 01 Apr 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 24 22 0 06 Feb 2019
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation Jingwei Gan Pai Liu R. Chakrabarty GAN 16 0 0 13 Jan 2019
Sequential Variational Autoencoders for Collaborative Filtering Noveen Sachdeva Giuseppe Manco Ettore Ritacco Vikram Pudi BDL 18 102 0 25 Nov 2018
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 27 34 0 13 Nov 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 32 58 0 05 Oct 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 24 126 0 08 Jun 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 30 29 0 28 May 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 16 22 0 18 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng Rajesh Ranganath Jaan Altosaar David M. Blei 22 22 0 03 May 2018
Markov Chain Neural Networks Maren Awiszus Bodo Rosenhahn BDL 11 24 0 02 May 2018
Toward Diverse Text Generation with Inverse Reinforcement Learning Zhan Shi Xinchi Chen Xipeng Qiu Xuanjing Huang 14 104 0 30 Apr 2018
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery Ali Ziat E. Delasalles Ludovic Denoyer Patrick Gallinari BDL AI4TS AI4CE 26 74 0 23 Apr 2018
Learning Awareness Models Brandon Amos Laurent Dinh Serkan Cabi Thomas Rothörl Sergio Gomez Colmenarejo Alistair Muldal Tom Erez Yuval Tassa Nando de Freitas Misha Denil 23 44 0 17 Apr 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 41 474 0 13 Mar 2018
Deep learning algorithm for data-driven simulation of noisy dynamical system K. Yeo Igor Melnyk AI4TS 21 93 0 22 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 48 525 0 21 Feb 2018
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 46 346 0 28 Nov 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 23 16 0 30 Jun 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 30 100 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
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 16 452 0 30 Sep 2016
Neural Net Models for Open-Domain Discourse Coherence Jiwei Li Dan Jurafsky 32 123 0 05 Jun 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 65 393 0 24 May 2016