Invited Keynote Presentation
in
Workshop: Machine Learning for Astrophysics
Equivariant machine learning, structured like classical physics
Soledad Villar
Abstract:
In this talk we give an introduction to equivariant machine learning: a methodology that restricts the learning to the space of functions that obey the symmetries of classical physics. We will mention how we can apply this methodology to learn properties of detailed cosmological simulations from more approximate simulations.
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