知の物理学研究センター / Institute for Physics of Intelligence (iπ)

【日時/Date】
2021年6月9日（水）17時00分～18時30分

【講演者/Speaker】
Lenka ZDEBOROVA（EPFL/スイス連邦工科大学ローザンヌ校）

【講演タイトル/Title】
"Understanding machine learning via exactly solvable models"

【概要/Abstract】
The affinity between statistical physics and machine learning has a long history, this is reflected even in the machine learning terminology that is in part adopted from physics. I will describe the main lines of this long-lasting friendship in the context of current theoretical challenges and open questions about deep learning. Theoretical physics often proceeds in terms of solvable synthetic models, I will describe the related line of work on solvable models of simple feed-forward neural networks. I will highlight a path forward to capture the subtle interplay between the structure of the data, the architecture of the network, and the learning algorithm.

資料PDF/PDF

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