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Geometric deep learning enables the encoding of physical symmetries in modeling 3D objects.
Stochastic analysis on manifolds
Elton P Hsu · 2002
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Kristof T Schütt, Huziel E Sauceda, P-J Kindermans, Alexandre Tkatchenko, and K-R Müller · 2018
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Alchemical and structural distribution based representation for universal quantum machine learning
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Analyzing learned molecular representations for property prediction
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Dávid Péter Kovács, Cas van der Oord, Jiri Kucera, Alice EA Allen, Daniel J Cole, Christoph Ortner, and Gábor Csányi · 2021
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Frame averaging for invariant and equivariant network design
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Gauge equivariant transformer
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Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, and Vincent Sitzmann · 2022
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Path integral stochastic optimal control for sampling transition paths
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Marc Finzi, Samuel Stanton, Pavel Izmailov, and Andrew Gordon Wilson · 2020
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