Davide Carbone

Dottorando in Matematica Pura E Applicata , 36o ciclo (2020-2023)
Dipartimento di Scienze Matematiche "G. L. Lagrange" (DISMA)

Assegnista di Ricerca
Dipartimento di Scienze Matematiche "G. L. Lagrange" (DISMA)


Dottorato di ricerca

Titolo della tesi

Generative Models as Out-of-equilibrium particle systems: the case of Energy-Based Models

Argomento di ricerca

Neural Networks as Interacting Particle Systems


Interessi di ricerca

Mathematical Physics


From the very beginning of my student career I regard Mathematics and Physics as disciplines closely related to the concept of analogy. During my entire course I was fascinated in finding connections between very different topics. This belief led me to choose the bachelor's Degree in Physics at University of Turin. I graduated in 2018 with a thesis on Palatini-f(R) gravitational models (advisor: prof. L. Fatibene). Subsequently, I chose the master’s degree in Physics of Complex Systems at University of Turin, that guaranteed the opportunity to maximally enlarge my theoretical knowledge. I graduated in 2020 with a thesis on generalized T-Symmetry and Onsager relations (advisor: prof. L. Rondoni). I currently work on theoretical Machine Learning seen from the point of view of Statistical Mechanics as a system of interacting particles. As a side note, a graduated in Piano at Conservatory of Turin in 2019.



Corso di laurea di 1° livello

MostraNascondi A.A. passati


Gruppi di ricerca


Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris