20 citations · 37 across the 15 of their papers we have counts for
4 papers · 1 filter
Image Embedding for Denoising Generative Models
Andrea Asperti, Davide Evangelista, Samuele Marro +1
Denoising Diffusion models are gaining increasing popularity in the field of generative modeling for several reasons, including the simple and stable training, the excellent genera…
To be or not to be stable, that is the question: understanding neural networks for inverse problems
Davide Evangelista, James Nagy, Elena Morotti +1
The solution of linear inverse problems arising, for example, in signal and image processing is a challenging problem since the ill-conditioning amplifies, in the solution, the noi…
Price formation in financial markets: a game-theoretic perspective
David Evangelista, Yuri Saporito, Yuri Thamsten
We propose two novel frameworks to study the price formation of an asset negotiated in an order book. Specifically, we develop a game-theoretic model in many-person games and mean-…
RISING a new framework for few-view tomographic image reconstruction with deep learning
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini
This paper proposes a new two-step procedure for sparse-view tomographic image reconstruction. It is called RISING, since it combines an early-stopped Rapid Iterative Solver with a…