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"

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Title
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos Lele Luan Yang Liu Hao Sun PINN AI4CE 47 0 0 09 Jun 2021
RegFlow: Probabilistic Flow-based Regression for Future Prediction Maciej Ziȩba Marcin Przewiȩźlikowski Marek Śmieja Jacek Tabor Tomasz Trzciñski Przemysław Spurek AI4TS AI4CE 131 11 0 30 Nov 2020
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 M. Stetter E. Lang SSL AI4CE 70 0 0 03 Jul 2020
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 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 Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 148 191 0 09 Jun 2019
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks Michael D Kissner Helmut A. Mayer OCL PINN 51 2 0 23 May 2019
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 Jochen Stüber Claudio Zito Rustam Stolkin AI4CE 80 100 0 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 OCL 84 61 0 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 AAML 75 44 0 25 Feb 2019
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 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 Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 90 389 0 18 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis M. A. Nabian Hadi Meidani PINN AI4CE 84 58 0 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 53 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 300 603 0 04 Jun 2018
Unsupervised Intuitive Physics from Visual Observations Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi SSL PINN OOD 71 30 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 78 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 114 281 0 05 Jun 2017