8 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape
Persia Jana Kamali, Pierfrancesco Urbani
Stochastic Gradient Descent (SGD) is an out-of-equilibrium algorithm used extensively to train artificial neural networks. However very little is known on to what extent SGD is cru…
cond-mat.dis-nn2023★ 8 cited
Dynamical mean field theory for models of confluent tissues and beyond
Persia Jana Kamali, Pierfrancesco Urbani
We consider a recently proposed model to understand the rigidity transition in confluent tissues and we derive the dynamical mean field theory (DMFT) equations that describes sever…