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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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/157597 |