Understanding Equivariant Machine Learning From Classical Physics
If you are looking for information about Equivariant Machine Learning From Classical Physics, you have come to the right place. IMA Data Science Seminar Speaker: Soledad Villar (Johns Hopkins University) Talk Title:
Key Takeaways about Equivariant Machine Learning From Classical Physics
- Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: https://fabianfuchsml.github.io/equivariance1of2/ Deep
- This video is part of the
- (04 Avril 2022/ April 04, 2022) Séminaire Mathématiques appliquées/ Applied Mathematics Seminar.
- Speaker: Dr Roberto Bondesan.
- Ge Yang, IAIFI and MIT.
Detailed Analysis of Equivariant Machine Learning From Classical Physics
Soledad Villar (Johns Hopkins) https://simons.berkeley.edu/talks/ LatinX in AI (LXAI) at NeurIPS 2022: Author: Soledad Villar on Presentation By Soledad Villar from John Hopkins University for the Data
Speaker: Soledad VILLAR (Johns Hopkins University, USA) Youth in High-Dimensions | (smr 3602) ...
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