796 citations · 5.3k across the 118 of their papers we have counts for
7 papers · 1 filter
Thermodynamic Computing
Tom Conte, Erik DeBenedictis, Natesh Ganesh +36
The hardware and software foundations laid in the first half of the 20th Century enabled the computing technologies that have transformed the world, but these foundations are now u…
Optimal work extraction and mutual information in a generalized Szilárd engine
Juyong Song, Susanne Still, Rafael Díaz Hernández Rojas +2
A 1929 Gedankenexperiment proposed by Szilárd, often referred to as "Szilárd's engine", has served as a foundation for computing fundamental thermodynamic bounds to information pro…
Maximal Relevance and Optimal Learning Machines
O Duranthon, M Marsili, R Xie
We show that the mutual information between the representation of a learning machine and the hidden features that it extracts from data is bounded from below by the relevance, whic…
The peculiar statistical mechanics of Optimal Learning Machines
Matteo Marsili
Optimal Learning Machines (OLM) are systems that extract maximally informative representation of the environment they are in contact with, or of the data they are presented. It has…
On the complexity of logistic regression models
Nicola Bulso, Matteo Marsili, Yasser Roudi
We investigate the complexity of logistic regression models which is defined by counting the number of indistinguishable distributions that the model can represent (Balasubramanian…
Many-body perturbation theory calculations using the yambo code
D. Sangalli, A. Ferretti, H. Miranda +17
yambo is an open source project aimed at studying excited state properties of condensed matter systems from first principles using many-body methods. As input, yambo requires groun…