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SUMMARY:ICP Kolloquium: Dr. Sven Krippendorf, 05. Oktober 2021, „Theoretical Physicists' Biases Meet Machine Learning”
DESCRIPTION:Dr. Sven KrippendorfArnold Sommerfeld Center for Theoretical Physics, MünchenDienstag, 5. Oktober 2021, 14:00 Uhrvia zoom\n \n“Theoretical Physicists' Biases Meet Machine Learning”\nAbstract :Many recent successes in machine learning (ML) resemble the success story in theoretical particle physics of utilising symmetries as organising principle. I discuss an introductory example where this procedure applied in ML leads to new insights to PDEs in mathematical physics, more precisely for the study of Calabi-Yau metrics. Then I discuss methods on how to identify symmetries of a system without requiring knowledge about such symmetries, including also how to find a Lax pair/connection associated with integrable systems. If time permits, I discuss how latent representations in neural networks can offer a close resemblance of variables used in dual descriptions established analytically in physical systems.
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20211005
URL;VALUE=URI:https://www.icp.uni-stuttgart.de/news/events/ICP-Kolloquium-Dr.-Sven-Krippendorf-05.-Oktober-2021-Theoretical-Physicists-Biases-Meet-Machine-Learning/
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