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1703.00247
Cited By
Learning A Physical Long-term Predictor
1 March 2017
Sébastien Ehrhardt
Áron Monszpart
Niloy J. Mitra
Andrea Vedaldi
AI4CE
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Papers citing
"Learning A Physical Long-term Predictor"
24 / 24 papers shown
Title
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Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
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Comparing recurrent and convolutional neural networks for predicting wave propagation
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E. Pignatelli
Mario Lino Valencia
C. Cantwell
Amos Storkey
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20 Feb 2020
Neural Re-Simulation for Generating Bounces in Single Images
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Bryan C. Russell
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Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
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Eddy Ilg
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Thomas Brox
148
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09 Jun 2019
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks
Michael D Kissner
Helmut A. Mayer
OCL
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51
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23 May 2019
Explainable Machine Learning for Scientific Insights and Discoveries
R. Roscher
B. Bohn
Marco F. Duarte
Jochen Garcke
XAI
122
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21 May 2019
Let's Push Things Forward: A Survey on Robot Pushing
Jochen Stüber
Claudio Zito
Rustam Stolkin
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80
100
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13 May 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu
Zhijian Liu
Chen Sun
Kevin Patrick Murphy
William T. Freeman
J. Tenenbaum
Jiajun Wu
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12 Mar 2019
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
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25 Feb 2019
Learning Generalizable Physical Dynamics of 3D Rigid Objects
Davis Rempe
Srinath Sridhar
He Wang
Leonidas Guibas
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58
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02 Jan 2019
Approximating the solution to wave propagation using deep neural networks
Matthias Limmer
Stef Garasto
F. Schüle
R. Schweiger
Anil A. Bharath
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04 Dec 2018
Perceiving Physical Equation by Observing Visual Scenarios
Siyu Huang
Zhi-Qi Cheng
Xi Li
Xiao-Jun Wu
Zhongfei Zhang
Alexander G. Hauptmann
43
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29 Nov 2018
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
Nils Thuerey
Konstantin Weissenow
L. Prantl
Xiangyu Y. Hu
AI4CE
101
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18 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
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11 Oct 2018
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
David Zheng
V. Luo
Jiajun Wu
J. Tenenbaum
SSL
DRL
AI4CE
74
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0
24 Jul 2018
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
GNN
AI4CE
PINN
OCL
308
603
0
04 Jun 2018
Unsupervised Intuitive Physics from Visual Observations
Sébastien Ehrhardt
Áron Monszpart
Niloy Mitra
Andrea Vedaldi
SSL
PINN
OOD
71
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0
14 May 2018
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
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0
20 Mar 2018
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
Nicholas Watters
Andrea Tacchetti
T. Weber
Razvan Pascanu
Peter W. Battaglia
Daniel Zoran
PINN
3DH
116
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0
05 Jun 2017
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