5 papers
On the number of limit cycles in diluted neural networks
Sungmin Hwang, Enrico Lanza, Giorgio Parisi +3
We consider the storage properties of temporal patterns, i.e. cycles of finite lengths, in neural networks represented by (generally asymmetric) spin glasses defined on random grap…
Force balance controls the relaxation time of the gradient descent algorithm in the satisfiable phase
Sungmin Hwang, Harukuni Ikeda
We numerically study the relaxation dynamics of the single layer perceptron with the spherical constraint. This is the simplest model of neural networks and serves a prototypical m…
Poincaré invariance in NRQCD and pNRQCD revisited
Matthias Berwein, Nora Brambilla, Sungmin Hwang +1
We investigate how fields transform under the Poincaré group in nonrelativistic effective field theories of QCD. In constructing these transformations, we rely only on symmetries a…
On the number of limit cycles in asymmetric neural networks
Sungmin Hwang, Viola Folli, Enrico Lanza +3
The comprehension of the mechanisms at the basis of the functioning of complexly interconnected networks represents one of the main goals of neuroscience. In this work, we investig…
Jamming in multilayer supervised learning models
Silvio Franz, Sungmin Hwang, Pierfrancesco Urbani
Critical jamming transitions are characterized by an astonishing degree of universality. Analytic and numerical evidence points to the existence of a large universality class that…