Statistical physics, Bayesian inference and neural information processing
Read:: - [ ] Grant et al. (2023) - Statistical physics, Bayesian inference and neural information processing 🛫2023-10-07 !!2 rd citation todoist Print:: ❌ Zotero Link:: Zotero Files:: attachment Reading Note:: Web Rip:: url:: http://arxiv.org/abs/2309.17006
TABLE without id
file.link as "Related Files",
title as "Title",
type as "type"
FROM "" AND -"ZZ. planning"
WHERE citekey = "grantStatisticalPhysicsBayesian2023"
SORT file.cday DESCAbstract
Lecture notes from the course given by Professor Sara A. Solla at the Les Houches summer school on “Statistical physics of Machine Learning”. The notes discuss neural information processing through the lens of Statistical Physics. Contents include Bayesian inference and its connection to a Gibbs description of learning and generalization, Generalized Linear Models as a controlled alternative to backpropagation through time, and linear and non-linear techniques for dimensionality reduction.