activity
19992023
most citedReduction of Vaisman structures in complex and quaternionic geometry

26 citations · 121 across the 24 of their papers we have counts for

collaborators

29 papers

q-fin.MF2023

On the Behavior of the Payoff Amounts in Simple Interest Loans in Arbitrage-Free Markets

Fausto Di Biase, Stefano Di Rocco, Alessandra Ortolano +1

The Consumer Financial Protection Bureau defines the notion of payoff amount as the amount that has to be payed at a particular time in order to completely pay off the debt, in cas…

cs.NE2023

Increasing biases can be more efficient than increasing weights

Carlo Metta, Marco Fantozzi, Andrea Papini +7

We introduce a novel computational unit for neural networks that features multiple biases, challenging the traditional perceptron structure. This unit emphasizes the importance of…

cs.AI2022

Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co

Maurizio Parton, Marco Angelone, Carlo Metta +4

This paper aims to investigate the possibility of using artificial intelligence (AI) to resolve the legal issues raised by the Covid-19 emergency about the fate of continuing execu…

cs.AI2022★ 8 cited

Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?

Luca Pasqualini, Gianluca Amato, Marco Fantozzi +5

In the last years, the DeepMind algorithm AlphaZero has become the state of the art to efficiently tackle perfect information two-player zero-sum games with a win/lose outcome. How…

cs.LG2021

Curious Explorer: a provable exploration strategy in Policy Learning

Marco Miani, Maurizio Parton, Marco Romito

Having access to an exploring restart distribution (the so-called wide coverage assumption) is critical with policy gradient methods. This is due to the fact that, while the object…

cs.CR2020

Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks

Luca Pasqualini, Maurizio Parton

A Pseudo-Random Number Generator (PRNG) is any algorithm generating a sequence of numbers approximating properties of random numbers. These numbers are widely employed in mid-level…