Black Holes and the loss landscape in machine learning

Abstract Understanding the loss landscape is an important problem in machine learning. One key feature of the loss function, common to many neural network architectures, is the presence of exponentially many low lying local minima. Physical systems with similar energy landscapes may provide useful i...

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Bibliographic Details
Published in:Journal of High Energy Physics
Main Authors: Pranav Kumar, Taniya Mandal, Swapnamay Mondal
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Subjects:
Online Access:https://doi.org/10.1007/JHEP10(2023)107