Geometric structures of statistical physics, information geometry, and learning : SPIGL'20, Les Houches, France, July 27-31 / Frédéric Barbaresco, Frank Nielsen, editors.

Machine learning and artificial intelligence increasingly use methodological tools rooted in statistical physics. Conversely, limitations and pitfalls encountered in AI question the very foundations of statistical physics. This interplay between AI and statistical physics has been attested since the...

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Bibliographic Details

Online Access:	Full Text (via Springer)
Corporate Author:	Joint Structures and Common Foundation of Statistical Physics, Information Geometry and Inference for Learning Les Houches, Haute-Savoie, France
Other Authors:	Barbaresco, Frédéric (Editor), Nielsen, Frank (Editor)
Other title:	SPIGL'20.
Format:	Conference Proceeding eBook
Language:	English
Published:	Cham : Springer, [2021]
Series:	Springer proceedings in mathematics & statistics ; v.361.
Subjects:	Statistical physics > Congresses. Artificial intelligence > Congresses. Artificial intelligence. Statistical physics. Conference papers and proceedings.