activity
20212026
most citedGell-Mann-Low criticality in neural networks

22 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ph2026

Is the Standard Model Effective Field Theory Enough for Higgs Pair Production?

Íñigo Asiáin, Ramona Gröber, Lorenzo Tiberi

We study Higgs-boson pair production in the Standard Model Effective Field Theory (SMEFT) up to dimension six and in the Higgs Effective Field Theory (HEFT) at leading order in the…

hep-ph2025

Connecting -channel Dark Matter Models to the Standard Model Effective Field Theory

Simone Biondini, Lorenzo Tiberi, Orlando Panella

We investigate the connection between simplified dark matter models featuring a -channel scalar mediator and the Standard Model Effective Field Theory (SMEFT). We focus on scena…

cs.LG2024★ 3 cited

Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers

Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie +1

Despite the remarkable empirical performance of Transformers, their theoretical understanding remains elusive. Here, we consider a deep multi-head self-attention network, that is c…

cond-mat.dis-nn2023★ 1 cited

Hidden connectivity structures control collective network dynamics

Lorenzo Tiberi, David Dahmen, Moritz Helias

Many observables of brain dynamics appear to be optimized for computation. Which connectivity structures underlie this fine-tuning? We propose that many of these structures are nat…

cond-mat.dis-nn2021★ 22 cited

Gell-Mann-Low criticality in neural networks

Lorenzo Tiberi, Jonas Stapmanns, Tobias Kühn +3

Criticality is deeply related to optimal computational capacity. The lack of a renormalized theory of critical brain dynamics, however, so far limits insights into this form of bio…