Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models

18 January 2021

Patrick van der Smagt

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Papers citing "Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models"

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Title
Bounding Evidence and Estimating Log-Likelihood in VAE Lukasz Struski Marcin Mazur Pawel Batorski Przemysław Spurek Jacek Tabor 56 3 0 19 Jun 2022
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 103 37 0 19 Mar 2020
Variational Tracking and Prediction with Generative Disentangled State-Space Models A. Akhundov Maximilian Soelch Justin Bayer Patrick van der Smagt BDL DRL 38 3 0 14 Oct 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 80 380 0 01 Jul 2019
Note on the bias and variance of variational inference Chin-Wei Huang Aaron Courville 28 5 0 09 Jun 2019
Switching Linear Dynamics for Variational Bayes Filtering Philip Becker-Ehmck Jan Peters Patrick van der Smagt BDL 55 46 0 29 May 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 35 100 0 13 May 2019
Re-examination of the Role of Latent Variables in Sequence Modeling Zihang Dai Guokun Lai Yiming Yang Shinjae Yoo BDL DRL 38 4 0 04 Feb 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,436 0 12 Nov 2018
The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight Amado Antonini Winter Guerra Varun Murali Thomas Sayre-McCord S. Karaman 33 54 0 03 Oct 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 177 306 0 11 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 61 127 0 08 Jun 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 55 147 0 06 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 80 258 0 05 Jun 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 100 22 0 18 May 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 83 526 0 21 Feb 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 104 749 0 20 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 69 135 0 08 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 125 283 0 10 Jan 2018
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction Zhiyong Cui Ruimin Ke Ziyuan Pu Yinhai Wang AI4TS 37 415 0 07 Jan 2018
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 67 283 0 16 Oct 2017
Unsupervised Real-Time Control through Variational Empowerment Maximilian Karl Maximilian Soelch Philip Becker-Ehmck Djalel Benbouzid Patrick van der Smagt Justin Bayer 59 55 0 13 Oct 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 232 210 0 25 May 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 113 529 0 17 Jan 2017
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 86 457 0 30 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,686 0 15 Sep 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,076 0 05 Jun 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 112 398 0 24 May 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 49 375 0 20 May 2016
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series Maximilian Sölch Justin Bayer Marvin Ludersdorfer Patrick van der Smagt AI4TS BDL 55 81 0 23 Feb 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 157 290 0 22 Feb 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 91 262 0 06 Feb 2016
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 81 160 0 23 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 70 373 0 16 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 268 1,245 0 01 Sep 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 84 1,259 0 07 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 310 4,179 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Variational Recurrent Auto-Encoders Otto Fabius Joost R. van Amersfoort GAN BDL DRL 86 248 0 20 Dec 2014
Learning Stochastic Recurrent Networks Justin Bayer Christian Osendorfer BDL 66 274 0 27 Nov 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 134 1,166 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 252 2,621 0 29 Jun 2012
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 79 1,339 0 12 Jun 2012