Exploring Data Learning Equivariant Ml From Classical Physics
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- Rotation equivariance is a desirable property in many practical applications such as motion forecasting and 3D perception, where ...
- (04 Avril 2022/ April 04, 2022) Séminaire Mathématiques appliquées/ Applied Mathematics Seminar.
- Speaker: Soledad VILLAR (Johns Hopkins University, USA) Youth in High-Dimensions | (smr 3602) ...
- Speaker: Dr Roberto Bondesan.
- Talk starts at 1:45 Prof. Nicholas Zabaras speaking in the UW
In-Depth Information on Data Learning Equivariant Ml From Classical Physics
Presentation By Soledad Villar from John Hopkins University for the IMA LatinX in AI (LXAI) at NeurIPS 2022: Author: Soledad Villar on Soledad Villar (Johns Hopkins) https://simons.berkeley.edu/talks/
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