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Conference Paper: ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias

TitleModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
Authors
LU, YLIN, SCHEN, GPan, J
Issue Date2022
PublisherProceedings of Machine Learning Research.
Citation
International Conference on Machine Learning, v. 162, p. 14384 -14397 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320027

 

DC FieldValueLanguage
dc.contributor.authorLU, Y-
dc.contributor.authorLIN, S-
dc.contributor.authorCHEN, G-
dc.contributor.authorPan, J-
dc.date.accessioned2022-10-14T05:24:06Z-
dc.date.available2022-10-14T05:24:06Z-
dc.date.issued2022-
dc.identifier.citationInternational Conference on Machine Learning, v. 162, p. 14384 -14397-
dc.identifier.urihttp://hdl.handle.net/10722/320027-
dc.languageeng-
dc.publisherProceedings of Machine Learning Research. -
dc.relation.ispartofInternational Conference on Machine Learning-
dc.titleModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias-
dc.typeConference_Paper-
dc.identifier.emailPan, J: jpan@cs.hku.hk-
dc.identifier.authorityPan, J=rp01984-
dc.identifier.hkuros338673-
dc.identifier.volume162-
dc.identifier.spage14384-
dc.identifier.epage14397-

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