v1v2v3 (latest)

PDE-Driven Spatiotemporal Disentanglement

4 August 2020

Papers citing "PDE-Driven Spatiotemporal Disentanglement"

50 / 58 papers shown

Title
Physics-Incorporated Convolutional Recurrent Neural Networks for Source Identification and Forecasting of Dynamical Systems Priyabrata Saha Saurabh Dash Saibal Mukhopadhyay AI4CE 50 30 0 14 Apr 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 148 290 0 03 Mar 2020
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 61 159 0 21 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 427 10,591 0 17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,449 0 03 Dec 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks Ruben Villegas Arkanath Pathak Harini Kannan D. Erhan Quoc V. Le Honglak Lee VGen 59 139 0 05 Nov 2019
The Deepfake Detection Challenge (DFDC) Preview Dataset Brian Dolhansky Russ Howes Ben Pflaum Nicole Baram Cristian Canton Ferrer 59 499 0 19 Oct 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 64 217 0 30 Sep 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 209 225 0 29 Sep 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 85 150 0 19 Jun 2019
Scaling Autoregressive Video Models Dirk Weissenborn Oscar Täckström Jakob Uszkoreit DiffM VGen 94 201 0 06 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 118 894 0 04 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 94 45 0 27 May 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 68 88 0 27 May 2019
Towards Accurate Generative Models of Video: A New Metric & Challenges Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly EGVM VGen 91 730 0 03 Dec 2018
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 76 552 0 30 Nov 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 124 1,467 0 29 Nov 2018
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics Yunbo Wang Jianjin Zhang Hongyu Zhu Mingsheng Long Jianmin Wang Philip S Yu AI4TS 62 321 0 19 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 130 623 0 02 Nov 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,111 0 19 Jun 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 180 306 0 11 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 88 258 0 05 Jun 2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Yunbo Wang Zhifeng Gao Mingsheng Long Jianmin Wang Philip S. Yu 124 476 0 17 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 68 453 0 04 Apr 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 71 271 0 08 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 206 291 0 28 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 85 526 0 21 Feb 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 67 58 0 09 Feb 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations M. Raissi PINN AI4CE 120 755 0 20 Jan 2018
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge Emmanuel de Bézenac Arthur Pajot Patrick Gallinari PINN AI4CE 107 318 0 21 Nov 2017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 210 504 0 27 Oct 2017
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 46 756 0 26 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 71 283 0 16 Oct 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 157 1,799 0 10 Oct 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 78 353 0 22 Sep 2017
DGM: A deep learning algorithm for solving partial differential equations Justin A. Sirignano K. Spiliopoulos AI4CE 91 2,063 0 24 Aug 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yuan Liu Xiaodong Yang Jan Kautz GAN 131 1,147 0 17 Jul 2017
Decomposing Motion and Content for Natural Video Sequence Prediction Ruben Villegas Jimei Yang Seunghoon Hong Xunyu Lin Honglak Lee 70 597 0 25 Jun 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 94 476 0 05 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 78 553 0 31 May 2017
Stable Architectures for Deep Neural Networks E. Haber Lars Ruthotto 147 729 0 09 May 2017
Learning to Generate Long-term Future via Hierarchical Prediction Ruben Villegas Jimei Yang Yuliang Zou Sungryull Sohn Xunyu Lin Honglak Lee 61 380 0 19 Apr 2017
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction Junbo Zhang Yu Zheng Dekang Qi 3DPC AI4TS 95 2,055 0 01 Oct 2016
Generating Videos with Scene Dynamics Carl Vondrick Hamed Pirsiavash Antonio Torralba GAN VGen 188 1,468 0 08 Sep 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 94 534 0 13 Jul 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 159 4,235 0 12 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 76 1,044 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 266 14,012 0 19 Nov 2015
Deep multi-scale video prediction beyond mean square error Michaël Mathieu Camille Couprie Yann LeCun GAN 124 1,882 0 17 Nov 2015