Output-weighted and relative entropy loss functions for deep learning precursors of extreme events

Many scientific and engineering problems require accurate models of dynamical systems with rare and extreme events. Such problems present a challenging task for data-driven modelling, with many naive machine learning methods failing to predict or accurately quantify such events. One cause for this d...

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Bibliographic Details
Main Authors: Rudy, Samuel H., Sapsis, Themistoklis P.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: Elsevier BV 2024
Subjects:
Online Access:https://hdl.handle.net/1721.1/154215