Physics ∩ ML
a virtual hub at the interface of theoretical physics and deep learning.
Are wider nets better given the same number of parameters?
Anna Golubeva, Perimeter Institute, 12:00 ET
Explorations at the Physics ∩ ML Interface
Kyle Cranmer, NYU, 12:00 ET
Machine Learning for Calabi-Yau metrics
Fabian Ruehle, CERN and Oxford, 12:00 ET
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Nikunj Saunshi, Princeton University, 12:00 EDT
Algebraic Neural Networks
Alejandro Ribeiro, University of Pennsylvania, 12:00 ET
Generative and Invertible Networks for the LHC
Tilman Plehn, Heidelberg University, 12:00 EDT
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