Exploring the Intersection of Physics Modeling and Representation Learning

Exploring the Intersection of Physics Modeling and Representation Learning

Representation Learning has evolved into a multi-purpose tool capable of solving arbitrary problems provided enough data. This thesis focuses on two primary directions: (1) Harnessing the power of deep learning for applications in fundamental physics and (2) using physicsinspired tools to improve an...

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Bibliographic Details
Main Author:	Kitouni, Ouail
Other Authors:	Williams, Mike
Format:	Thesis
Published:	Massachusetts Institute of Technology 2024
Online Access:	https://hdl.handle.net/1721.1/157597

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