139 citations · 447 across the 15 of their papers we have counts for
15 papers
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
Moschoula Pternea, Prerna Singh, Abir Chakraborty +4
In this work, we review research studies that combine Reinforcement Learning (RL) and Large Language Models (LLMs), two areas that owe their momentum to the development of deep neu…
Mean Field Theory of Activation Functions in Deep Neural Networks
Mirco Milletarí, Thiparat Chotibut, Paolo E. Trevisanutto
We present a Statistical Mechanics (SM) model of deep neural networks, connecting the energy-based and the feed forward networks (FFN) approach. We infer that FFN can be understood…
Optimal charge-to-spin conversion in graphene on transition metal dichalcogenides
Manuel Offidani, Mirco Milletarí, Roberto Raimondi +1
When graphene is placed on a monolayer of semiconducting transition metal dichalcogenide (TMD) its band structure develops rich spin textures due to proximity spin-orbital effects…
Spin-charge conversion in disordered two-dimensional electron gases lacking inversion symmetry
Chunli Huang, Mirco Milletari, Miguel Cazalilla
We study the spin-charge conversion mechanisms in a two-dimensional gas of electrons moving in a smooth disorder potential by accounting for both Rashba-type and Mott's skew scatte…
Covariant conservation laws and the spin Hall effect in Dirac-Rashba systems
Mirco Milletari, Manuel Offidani, Aires Ferreira +1
We present a theoretical analysis of two-dimensional Dirac-Rashba systems in the presence of disorder and external perturbations. We unveil a set of exact symmetry relations (Ward…
Transient Features in Charge Fractionalization, Local Equilibration and Non-equilibrium Bosonization
Alexander Schneider, Mirco Milletarì, Bernd Rosenow
In quantum Hall edge states and in other one-dimensional interacting systems, charge fractionalization can occur due to the fact that an injected charge pulse decomposes into eigen…