Sequential Neural Models with Stochastic Layers

24 May 2016

Papers citing "Sequential Neural Models with Stochastic Layers"

50 / 223 papers shown

Title
Elements of Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 24 95 0 12 Mar 2019
PROPS: Probabilistic personalization of black-box sequence models M. Wojnowicz Xuan Zhao AAML 14 0 0 05 Mar 2019
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra 27 48 0 05 Mar 2019
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection Xuhong Wang Ying Du Shijie Lin Ping Cui Yuntian Shen Yupu Yang DRL ViT UQCV 16 99 0 03 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 33 89 0 25 Feb 2019
FAVAE: Sequence Disentanglement using Information Bottleneck Principle Masanori Yamada Heecheol Kim Kosuke Miyoshi Hiroshi Yamakawa CML DRL CoGe 14 4 0 22 Feb 2019
STCN: Stochastic Temporal Convolutional Networks Emre Aksan Otmar Hilliges BDL 13 61 0 18 Feb 2019
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection Duong Nguyen O. Kirsebom F. Frazão Ronan Fablet Stan Matwin 8 5 0 13 Feb 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
Re-examination of the Role of Latent Variables in Sequence Modeling Zihang Dai Guokun Lai Yiming Yang Shinjae Yoo BDL DRL 14 4 0 04 Feb 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 19 122 0 29 Jan 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 27 20 0 29 Jan 2019
State-Regularized Recurrent Neural Networks Cheng Wang Mathias Niepert 18 39 0 25 Jan 2019
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care Ziyuan Pan Hao Du K. Ngiam Fei Wang Ping Shum Mengling Feng 9 12 0 14 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 13 45 0 07 Jan 2019
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler Duo Xu 18 2 0 03 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 30 42 0 17 Dec 2018
Deep Factors with Gaussian Processes for Forecasting Danielle C. Maddix Bernie Wang Alex Smola BDL UQCV AI4TS 20 41 0 30 Nov 2018
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 27 34 0 13 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series Qiang Zhang Kyle Birkeland Yaodong Yang Y. Liu 22 9 0 08 Nov 2018
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition Ahmadreza Ahmadi Jun Tani BDL DRL 9 4 0 04 Nov 2018
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning Ahmed Alaa M. Schaar 14 11 0 24 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 19 110 0 09 Oct 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 14 47 0 06 Sep 2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey Xingjian Shi Dit-Yan Yeung AI4TS 27 86 0 21 Aug 2018
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis G. Henter Jaime Lorenzo-Trueba Xin Wang Junichi Yamagishi DRL SSL 13 61 0 30 Jul 2018
Latent Alignment and Variational Attention Yuntian Deng Yoon Kim Justin T. Chiu Demi Guo Alexander M. Rush BDL 18 110 0 10 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 34 715 0 03 Jul 2018
Learning dynamical systems with particle stochastic approximation EM Andreas Svensson Fredrik Lindsten 29 9 0 25 Jun 2018
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data Guokun Lai Bohan Li Guoqing Zheng Yiming Yang BDL 8 21 0 15 Jun 2018
Deep State Space Models for Unconditional Word Generation Florian Schmidt Thomas Hofmann 22 14 0 12 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 24 126 0 08 Jun 2018
A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams Duong Nguyen Rodolphe Vadaine G. Hajduch R. Garello Ronan Fablet 14 101 0 06 Jun 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 30 29 0 28 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
Variational Inference for Data-Efficient Model Learning in POMDPs Sebastian Tschiatschek Kai Arulkumaran Jan Stühmer Katja Hofmann 19 15 0 23 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
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 31 28 0 25 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 21 44 0 17 Apr 2018
The unreasonable effectiveness of the forget gate J. Westhuizen Joan Lasenby 22 86 0 13 Apr 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 25 88 0 20 Mar 2018
Variational Message Passing with Structured Inference Networks Wu Lin Nicolas Hubacher Mohammad Emtiyaz Khan BDL 23 54 0 15 Mar 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
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 36 270 0 08 Mar 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 48 525 0 21 Feb 2018
Learning and Querying Fast Generative Models for Reinforcement Learning Lars Buesing T. Weber S. Racanière S. M. Ali Eslami Danilo Jimenez Rezende ... Fabio Viola F. Besse Karol Gregor Demis Hassabis Daan Wierstra OffRL 19 134 0 08 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Probabilistic Recurrent State-Space Models Andreas Doerr Christian Daniel Martin Schiegg D. Nguyen-Tuong S. Schaal Marc Toussaint Sebastian Trimpe 15 121 0 31 Jan 2018
Data-Driven Impulse Response Regularization via Deep Learning Carl R. Andersson Niklas Wahlström Thomas B. Schon OOD 22 4 0 25 Jan 2018