activity
20062023
most citedUniversality and the QCD Anderson Transition

55 citations · 753 across the 65 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

hep-lat2022

Localisation of Dirac eigenmodes and confinement in gauge theories: the Roberge-Weiss transition

Marco Cardinali, Massimo D'Elia, Francesco Garosi +1

Ample numerical evidence from lattice calculations shows a strong connection between the confining properties of gauge theories at finite temperature and the localisation propertie…

hep-lat2022★ 9 cited

Deconfinement transition and localization of Dirac modes in finite-temperature gauge theory on the lattice

György Baranka, Matteo Giordano

We study the localization properties of the eigenmodes of the staggered Dirac operator across the deconfinement transition in finite-temperature pure gauge theory on…

hep-lat2022★ 23 cited

Equation of state of a hot-and-dense quark gluon plasma: lattice simulations at real vs. extrapolations

Szabolcs Borsanyi, Zoltan Fodor, Matteo Giordano +4

The equation of state of the quark gluon plasma is a key ingredient of heavy ion phenomenology. In addition to the traditional Taylor method, several novel approximation schemes ha…

math.ST2022★ 1 cited

Besov-Laplace priors in density estimation: optimal posterior contraction rates and adaptation

Matteo Giordano

Besov priors are nonparametric priors that can model spatially inhomogeneous functions. They are routinely used in inverse problems and imaging, where they exhibit attractive spars…

hep-th2022★ 8 cited

Localisation of Dirac modes in gauge theories and Goldstone's theorem at finite temperature

Matteo Giordano

I discuss the possible effects of a finite density of localised near-zero Dirac modes in the chiral limit of gauge theories with degenerate fermions. I focus in particular on…

stat.ML2022★ 7 cited

On the inability of Gaussian process regression to optimally learn compositional functions

Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber

We rigorously prove that deep Gaussian process priors can outperform Gaussian process priors if the target function has a compositional structure. To this end, we study information…