Sequential Neural Models with Stochastic Layers

24 May 2016

Papers citing "Sequential Neural Models with Stochastic Layers"

50 / 223 papers shown

Title
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling Keisuke Fujii Naoya Takeishi Yoshinobu Kawahara K. Takeda 39 8 0 07 Jul 2020
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF Atanas Mirchev Baris Kayalibay Patrick van der Smagt Justin Bayer BDL DRL 27 9 0 17 Jun 2020
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility Daniele Gammelli Filipe Rodrigues 15 1 0 09 Jun 2020
Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning Ahmed A. Shafee M. Fouda Mohamed Mahmoud Waleed S. Alasmary A. Aljohani Fathi H. Amsaad 26 0 0 28 May 2020
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 8 15 0 16 May 2020
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation M. Hossam Trung Le Viet Huynh Michael Papasimeon Dinh Q. Phung GAN 8 6 0 16 Apr 2020
Generating Narrative Text in a Switching Dynamical System Noah Weber L. Shekhar Heeyoung Kwon Niranjan Balasubramanian Nathanael Chambers 39 5 0 08 Apr 2020
Deep State Space Models for Nonlinear System Identification Daniel Gedon Niklas Wahlström Thomas B. Schon L. Ljung 10 81 0 31 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 155 216 0 19 Mar 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Ruizhi Deng B. Chang Marcus A. Brubaker Greg Mori Andreas M. Lehrmann 25 49 0 24 Feb 2020
Variational Hyper RNN for Sequence Modeling Ruizhi Deng Yanshuai Cao B. Chang Leonid Sigal Greg Mori Marcus A. Brubaker BDL DRL 17 2 0 24 Feb 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
Deep Variational Luenberger-type Observer for Stochastic Video Prediction Dong Wang Feng Zhou Zheng Yan Guang Yao Zongxuan Liu Wennan Ma Cewu Lu 25 0 0 12 Feb 2020
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting J. Dabrowski Yifan Zhang Ashfaqur Rahman AI4TS 13 36 0 11 Feb 2020
Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang Ling Chen Fan Zhou Yusong Gao Wei Cao 28 8 0 13 Jan 2020
Hierarchical Variational Imitation Learning of Control Programs Roy Fox Richard Shin William Paul Yitian Zou D. Song Ken Goldberg Pieter Abbeel Ion Stoica BDL 8 4 0 29 Dec 2019
Deep Physiological State Space Model for Clinical Forecasting Yuan Xue Denny Zhou Nan Du Andrew M. Dai Zhen Xu Kun Zhang Claire Cui 17 2 0 04 Dec 2019
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection Duong Nguyen Rodolphe Vadaine G. Hajduch R. Garello Ronan Fablet 15 88 0 02 Dec 2019
A Stable Variational Autoencoder for Text Modelling Ruizhe Li Xiao Li Chenghua Lin Matthew Collinson Rui Mao DRL BDL 13 21 0 13 Nov 2019
Constructing Gradient Controllable Recurrent Neural Networks Using Hamiltonian Dynamics Konstantin Rusch J. Pearson K. Zygalakis 14 0 0 11 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 28 347 0 04 Nov 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 19 31 0 31 Oct 2019
Customizing Sequence Generation with Multi-Task Dynamical Systems Alex Bird Christopher K. I. Williams AI4CE 28 11 0 11 Oct 2019
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt G. Koppe Zahra Monfared Max Beutelspacher Daniel Durstewitz AI4CE 10 6 0 08 Oct 2019
Generalization in Generation: A closer look at Exposure Bias Florian Schmidt 19 87 0 01 Oct 2019
Autoregressive Text Generation Beyond Feedback Loops Florian Schmidt Stephan Mandt Thomas Hofmann AI4TS 17 14 0 30 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 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
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Changhao Chen Chris Xiaoxuan Lu Bing Wang A. Trigoni Andrew Markham BDL 11 52 0 11 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows Hari Prasanna Das Pieter Abbeel C. Spanos DRL AI4CE 14 5 0 05 Aug 2019
Stochastic trajectory prediction with social graph network Lidan Zhang Qi She Ping Guo 13 58 0 24 Jul 2019
Unsupervised Separation of Dynamics from Pixels Silvia Chiappa Ulrich Paquet OCL 30 4 0 20 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 372 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
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 24 36 0 22 Jun 2019
GluonTS: Probabilistic Time Series Models in Python A. Alexandrov Konstantinos Benidis Michael Bohlke-Schneider Valentin Flunkert Jan Gasthaus ... David Salinas J. Schulz Lorenzo Stella Ali Caner Türkmen Bernie Wang BDL AI4TS 20 114 0 12 Jun 2019
Disentangled State Space Representations Ðorðe Miladinovic Muhammad Waleed Gondal Bernhard Schölkopf J. M. Buhmann Stefan Bauer DRL 31 30 0 07 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 33 2,290 0 06 Jun 2019
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series Zhi-Xuan Tan Harold Soh Desmond C. Ong AI4TS 17 29 0 30 May 2019
Switching Linear Dynamics for Variational Bayes Filtering Philip Becker-Ehmck Jan Peters Patrick van der Smagt BDL 25 46 0 29 May 2019
Deep Factors for Forecasting Bernie Wang Alex Smola Danielle C. Maddix Jan Gasthaus Dean Phillips Foster Tim Januschowski BDL 16 169 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
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion Lijiang Guo DRL 13 1 0 23 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 15 29 0 25 Mar 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing Hao Fu Chunyuan Li Xiaodong Liu Jianfeng Gao Asli Celikyilmaz Lawrence Carin ODL 27 360 0 25 Mar 2019