1 citations · 2 across the 2 of their papers we have counts for
4 papers
Higher-order interactions in statistical physics and machine learning: A model-independent solution to the inverse problem at equilibrium
Sjoerd Viktor Beentjes, Ava Khamseh
The problem of inferring pair-wise and higher-order interactions in complex systems involving large numbers of interacting variables, from observational data, is fundamental to man…
Beyond the Standard Model Kaon Mixing with Physical Masses
Peter Boyle, Nicolas Garron, Renwick James Hudspith +4
We present results from a calculation of beyond the standard model (BSM) kaon mixing including data physical with light quark masses. We simulate QCD with Iwasaki gauge a…
Machine learning determination of dynamical parameters: The Ising model case
Guido Cossu, Luigi Del Debbio, Tommaso Giani +2
We train a set of Restricted Boltzmann Machines (RBMs) on one- and two-dimensional Ising spin configurations at various values of temperature, generated using Monte Carlo simulatio…
Charm physics with physical light and strange quarks using domain wall fermions
Peter A. Boyle, Luigi Del Debbio, Nicolas Garron +5
We present a study of charm physics using RBC/UKQCD 2+1 flavour physical point domain wall fermion ensembles for the light quarks as well as for the valence charm quark. After a br…