Hamiltonian Neural Networks

4 June 2019

Papers citing "Hamiltonian Neural Networks"

50 / 191 papers shown

Title
Learning Hamiltonian Systems with Mono-Implicit Runge-Kutta Methods Haakon Noren 27 3 0 07 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 29 4 0 06 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 38 0 0 02 Mar 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents Renato Berlinghieri Brian L. Trippe David R. Burt Ryan Giordano K. Srinivasan Tamay Ozgokmen Junfei Xia Tamara Broderick 23 10 0 20 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 23 3 0 03 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Learning the Dynamics of Sparsely Observed Interacting Systems Linus Bleistein Adeline Fermanian A. Jannot Agathe Guilloux 46 5 0 27 Jan 2023
Model-agnostic machine learning of conservation laws from data Shivam Arora Alexander Bihlo Rudiger Brecht P. Holba PINN AI4CE 18 3 0 12 Jan 2023
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control Adam J. Thorpe Cyrus Neary Franck Djeumou Meeko Oishi Ufuk Topcu 38 7 0 09 Jan 2023
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators Yannik P. Wotte Sven Dummer N. Botteghi C. Brune Stefano Stramigioli Federico Califano 36 5 0 29 Dec 2022
Brauer's Group Equivariant Neural Networks Edward Pearce-Crump AI4CE 13 15 0 16 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning Yeongwoo Song Hawoong Jeong OOD AI4CE 24 1 0 02 Dec 2022
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks Cyrus Neary Ufuk Topcu PINN AI4CE 23 12 0 01 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 30 18 0 30 Nov 2022
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems Valentin Duruisseaux T. Duong Melvin Leok Nikolay Atanasov DRL AI4CE 29 12 0 29 Nov 2022
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 35 1 0 17 Nov 2022
Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling A. Allauzen Thiago Petrilli Maffei Dardis Hannah Plath AI4CE 24 0 0 13 Nov 2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems A. Thangamuthu Gunjan Kumar S. Bishnoi Ravinder Bhattoo N. M. A. Krishnan Sayan Ranu AI4CE PINN 37 22 0 10 Nov 2022
Differentiable Analog Quantum Computing for Optimization and Control Jiaqi Leng Yuxiang Peng Yi-Ling Qiao Ming-Chyuan Lin Xiaodi Wu 22 15 0 28 Oct 2022
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks Valentin Duruisseaux J. Burby Q. Tang 35 11 0 11 Oct 2022
Certified machine learning: Rigorous a posteriori error bounds for PDE defined PINNs Birgit Hillebrecht B. Unger PINN 13 5 0 07 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 46 9 0 04 Oct 2022
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 41 12 0 23 Sep 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network Ravinder Bhattoo Sayan Ranu N. M. A. Krishnan AI4CE 34 17 0 23 Sep 2022
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body J. Mason Christine Allen-Blanchette Nicholas Zolman Elizabeth Davison Naomi Ehrich Leonard 3DH AI4CE 46 8 0 23 Sep 2022
Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models Harsh Sharma Nicholas Galioto Alex A. Gorodetsky Boris Kramer 41 3 0 15 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 33 18 0 15 Sep 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel Dylan Randle P. Protopapas David Sondak 24 3 0 15 Sep 2022
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems Matthew J. Colbrook 36 34 0 06 Sep 2022
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks Ravinder Bhattoo Sayan Ranu N. M. A. Krishnan PINN AI4CE 42 20 0 03 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 76 24 0 01 Sep 2022
Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields Niklas Schmitz Klaus-Robert Muller Stefan Chmiela AI4CE 23 11 0 25 Aug 2022
Constants of motion network M. F. Kasim Yi Heng Lim 37 4 0 22 Aug 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 25 22 0 26 Jul 2022
Continuous Methods : Hamiltonian Domain Translation Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 24 1 0 08 Jul 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 37 29 0 06 Jul 2022
Lagrangian Density Space-Time Deep Neural Network Topology B. Bishnoi PINN 25 1 0 30 Jun 2022
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers Ran Liu Mehdi Azabou M. Dabagia Jingyun Xiao Eva L. Dyer AI4CE 32 19 0 10 Jun 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 35 25 0 29 May 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 27 118 0 29 May 2022
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control Moritz Reuss Niels van Duijkeren R. Krug P. Becker Vaisakh Shaj Gerhard Neumann 9 5 0 27 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 27 2 0 15 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 24 3 0 02 May 2022
Neural Implicit Representations for Physical Parameter Inference from a Single Video Florian Hofherr Lukas Koestler Florian Bernard Daniel Cremers AI4CE 37 10 0 29 Apr 2022
VPNets: Volume-preserving neural networks for learning source-free dynamics Aiqing Zhu Beibei Zhu Jiawei Zhang Yifa Tang Jian-Dong Liu 34 3 0 29 Apr 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 18 1 0 18 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 16 26 0 02 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 44 57 0 31 Mar 2022
Thermodynamics-informed graph neural networks Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto AI4CE PINN 32 31 0 03 Mar 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview Zhijie Chen Mingquan Feng Junchi Yan H. Zha AI4CE 21 15 0 28 Feb 2022