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Hamiltonian Graph Networks with ODE Integrators

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DeepMind: The Hamiltonian Graph Network learns to simulate physics by incorporating ODE and Hamiltonian inductive biases into graph networks. https://arxiv.org/abs/1909.12790 https://t.co/TOYTEjiwCB

3 replies, 300 likes


Kyle Cranmer: Excited to announce a new paper with Alvaro Sanchez-Gonzalez, Victor Bapst, and @PeterWBattaglia (@DeepMindAI) on "Hamiltonian Graph Networks with ODE Integrators" Gives improvements in position & energy accuracy, and zero-shot generalization. https://arxiv.org/abs/1909.12790 https://t.co/WgVnrFocGQ

4 replies, 239 likes


Kyle Cranmer: Cool! @DeepMindAI is highlighting our recent paper in the context of several papers exploiting the properties of Hamiltonians. See thread, including cool new work by @DeepSpiker @irinavlh and collaborations

3 replies, 48 likes


Carlos E. Perez: This is a big step for a new kind of science. DeepMind's new paper on Hamiltonian inspired Graph Networks will lead to greater applications of generative models in Physical domains: https://twitter.com/DeepMindAI/status/1178970543682404352 .

1 replies, 12 likes


George Makrydakis: Hamiltonian Graph Networks with ODE Integrators. #ArtificialIntelligence https://arxiv.org/abs/1909.12790 https://t.co/ByVEV7dIYh

0 replies, 6 likes


Sam Greydanus: Some awesome work in the same vein as our HNN paper

0 replies, 5 likes


Montréal.IA: Hamiltonian Graph Networks with ODE Integrators Sanchez-Gonzalez et al.: https://arxiv.org/abs/1909.12790 #ArtificialIntelligence #Hamiltonian #GraphNetworks https://t.co/afbspWUr2y

0 replies, 4 likes


Kyle Cranmer: @alfcnz @samgreydanus @jasonyo đŸ‘‹ @samgreydanus see you next week too. For this reading the thread, here is something related https://twitter.com/kylecranmer/status/1178655631999426560?s=21

0 replies, 3 likes


OGAWA, Tadashi: => "Learning Structured Models of Physics", P. Battaglia, DeepMind, Interpretable Learning in Physical Sci, IPAM, Oct 16, 2019 Video http://www.ipam.ucla.edu/abstract/?tid=16226&pcode=MLPWS2 PDF http://helper.ipam.ucla.edu/publications/mlpws2/mlpws2_16226.pdf Hamiltonian Graph Networks with ODE Integrators https://arxiv.org/abs/1909.12790 https://twitter.com/ogawa_tter/status/1158042145439141899 https://t.co/7yasb17OZi

0 replies, 1 likes


OGAWA, Tadashi: => "Structured intelligence (Graph ML)", Peter Battaglia, DeepMind, Hammers & Nails 2019, Weizmann, Aug 1, 2019 (25 MB/ 109 pp) https://erez.weizmann.ac.il/pls/htmldb/f?p=101:58:::NO:RP:P58_CODE,P58_FILE:9309,Y https://github.com/deepmind/graph_nets https://scholar.google.com/citations?hl=en&user=nQ7Ij30AAAAJ&view_op=list_works&sortby=pubdate Jun 2019 https://twitter.com/ogawa_tter/status/1153788380536160257 Graph NN: Survey/Review https://twitter.com/ogawa_tter/status/1081244295380660224 https://t.co/lkV9P2XNRR

1 replies, 0 likes


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Found on Oct 01 2019 at https://arxiv.org/pdf/1909.12790.pdf

PDF content of a computer science paper: Hamiltonian Graph Networks with ODE Integrators