Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

21 November 2017

Papers citing "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge"

21 / 21 papers shown

Title
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction Hao Wu Wei Xion Fan Xu Xian-Sheng Hua C. L. Philip Chen Xiansheng Hua AI4TS 118 28 0 19 May 2023
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis 53 267 0 29 Mar 2017
Guided Optical Flow Learning Yi Zhu Zhenzhong Lan Shawn D. Newsam Alexander G. Hauptmann SSL 51 48 0 08 Feb 2017
Transformation-Based Models of Video Sequences Joost R. van Amersfoort A. Kannan MarcÁurelio Ranzato Arthur Szlam Du Tran Soumith Chintala ViT 39 76 0 29 Jan 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 189 3,072 0 06 Dec 2016
Video Pixel Networks Nal Kalchbrenner Aaron van den Oord Karen Simonyan Ivo Danihelka Oriol Vinyals Alex Graves Koray Kavukcuoglu 56 423 0 03 Oct 2016
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness Jason J. Yu Adam W. Harley Konstantinos G. Derpanis 48 406 0 20 Aug 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 75 530 0 13 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders Jacob Walker Carl Doersch Abhinav Gupta M. Hebert VGen 33 513 0 25 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 59 1,042 0 23 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 38 373 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Spatio-temporal video autoencoder with differentiable memory Viorica Patraucean Ankur Handa R. Cipolla 63 307 0 19 Nov 2015
Deep multi-scale video prediction beyond mean square error Michaël Mathieu Camille Couprie Yann LeCun GAN 105 1,880 0 17 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 56 372 0 16 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 454 7,952 0 13 Jun 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 64 1,250 0 07 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 259 7,361 0 05 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 249 4,159 0 26 Apr 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 362 16,962 0 20 Dec 2013
Linear Latent Force Models using Gaussian Processes Mauricio A. Alvarez D. Luengo Neil D. Lawrence 46 124 0 13 Jul 2011