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Hamiltonian Graph Networks with ODE Integrators

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Oct 01 2019 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, 293 likes


Sep 30 2019 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, 238 likes


Oct 01 2019 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


Oct 01 2019 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


Dec 02 2019 George Makrydakis

Hamiltonian Graph Networks with ODE Integrators. #ArtificialIntelligence https://arxiv.org/abs/1909.12790 https://t.co/ByVEV7dIYh
0 replies, 6 likes


Sep 30 2019 Sam Greydanus

Some awesome work in the same vein as our HNN paper
0 replies, 5 likes


Dec 04 2019 Kyle Cranmer

@alfcnz @samgreydanus @jasonyo 👋 @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


Oct 30 2019 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


Aug 04 2019 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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