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Learning A Physical Long-term Predictor

Learning A Physical Long-term Predictor

1 March 2017
Sébastien Ehrhardt
Áron Monszpart
Niloy J. Mitra
Andrea Vedaldi
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Learning A Physical Long-term Predictor"

24 / 24 papers shown
Title
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from
  Videos
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos
Lele Luan
Yang Liu
Hao Sun
PINNAI4CE
47
0
0
09 Jun 2021
RegFlow: Probabilistic Flow-based Regression for Future Prediction
RegFlow: Probabilistic Flow-based Regression for Future Prediction
Maciej Ziȩba
Marcin Przewiȩźlikowski
Marek Śmieja
Jacek Tabor
Tomasz Trzciñski
Przemysław Spurek
AI4TSAI4CE
131
11
0
30 Nov 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction
  Networks
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi
Xiaolong Wang
Deepak Pathak
Yi-An Ma
Jitendra Malik
107
59
0
05 Aug 2020
Learning intuitive physics and one-shot imitation using
  state-action-prediction self-organizing maps
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
M. Stetter
E. Lang
SSLAI4CE
70
0
0
03 Jul 2020
Comparing recurrent and convolutional neural networks for predicting
  wave propagation
Comparing recurrent and convolutional neural networks for predicting wave propagation
Stathi Fotiadis
E. Pignatelli
Mario Lino Valencia
C. Cantwell
Amos Storkey
Anil A. Bharath
91
37
0
20 Feb 2020
Neural Re-Simulation for Generating Bounces in Single Images
Neural Re-Simulation for Generating Bounces in Single Images
Carlo Innamorati
Bryan C. Russell
D. Kaufman
and Niloy J. Mitra
VGen
141
12
0
17 Aug 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and
  Fitting Framework for Multimodal Future Prediction
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Osama Makansi
Eddy Ilg
Özgün Çiçek
Thomas Brox
148
191
0
09 Jun 2019
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction
  Networks
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks
Michael D Kissner
Helmut A. Mayer
OCLPINN
51
2
0
23 May 2019
Explainable Machine Learning for Scientific Insights and Discoveries
Explainable Machine Learning for Scientific Insights and Discoveries
R. Roscher
B. Bohn
Marco F. Duarte
Jochen Garcke
XAI
122
677
0
21 May 2019
Let's Push Things Forward: A Survey on Robot Pushing
Let's Push Things Forward: A Survey on Robot Pushing
Jochen Stüber
Claudio Zito
Rustam Stolkin
AI4CE
80
100
0
13 May 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu
Zhijian Liu
Chen Sun
Kevin Patrick Murphy
William T. Freeman
J. Tenenbaum
Jiajun Wu
OCL
86
61
0
12 Mar 2019
Verification of Non-Linear Specifications for Neural Networks
Verification of Non-Linear Specifications for Neural Networks
Chongli Qin
Krishnamurthy Dvijotham
Dvijotham
Brendan O'Donoghue
Rudy Bunel
Robert Stanforth
Sven Gowal
J. Uesato
G. Swirszcz
Pushmeet Kohli
AAML
75
44
0
25 Feb 2019
Learning Generalizable Physical Dynamics of 3D Rigid Objects
Learning Generalizable Physical Dynamics of 3D Rigid Objects
Davis Rempe
Srinath Sridhar
He Wang
Leonidas Guibas
AI4CE
58
2
0
02 Jan 2019
Approximating the solution to wave propagation using deep neural
  networks
Approximating the solution to wave propagation using deep neural networks
Matthias Limmer
Stef Garasto
F. Schüle
R. Schweiger
Anil A. Bharath
70
21
0
04 Dec 2018
Perceiving Physical Equation by Observing Visual Scenarios
Perceiving Physical Equation by Observing Visual Scenarios
Siyu Huang
Zhi-Qi Cheng
Xi Li
Xiao-Jun Wu
Zhongfei Zhang
Alexander G. Hauptmann
43
9
0
29 Nov 2018
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of
  Airfoil Flows
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
Nils Thuerey
Konstantin Weissenow
L. Prantl
Xiangyu Y. Hu
AI4CE
101
389
0
18 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
PINNAI4CE
84
58
0
11 Oct 2018
Rethinking multiscale cardiac electrophysiology with machine learning
  and predictive modelling
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
C. Cantwell
Yumnah Mohamied
Konstantinos N. Tzortzis
Stef Garasto
C. Houston
R. Chowdhury
F. Ng
Anil A. Bharath
N. Peters
37
44
0
09 Oct 2018
Unsupervised Learning of Latent Physical Properties Using
  Perception-Prediction Networks
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks
David Zheng
V. Luo
Jiajun Wu
J. Tenenbaum
SSLDRLAI4CE
74
53
0
24 Jul 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNNAI4CEPINNOCL
308
603
0
04 Jun 2018
Unsupervised Intuitive Physics from Visual Observations
Unsupervised Intuitive Physics from Visual Observations
Sébastien Ehrhardt
Áron Monszpart
Niloy Mitra
Andrea Vedaldi
SSLPINNOOD
71
30
0
14 May 2018
IntPhys: A Framework and Benchmark for Visual Intuitive Physics
  Reasoning
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
Ronan Riochet
M. Castro
Mathieu Bernard
Adam Lerer
Rob Fergus
Véronique Izard
Emmanuel Dupoux
112
78
0
20 Mar 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid
  Flow
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
S. Wiewel
M. Becher
N. Thürey
AI4CE
126
276
0
27 Feb 2018
Visual Interaction Networks
Visual Interaction Networks
Nicholas Watters
Andrea Tacchetti
T. Weber
Razvan Pascanu
Peter W. Battaglia
Daniel Zoran
PINN3DH
116
281
0
05 Jun 2017
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