Zobrazeno 1 - 10
of 99
pro vyhledávání: '"FRACASTORO, GIULIA"'
In this paper we analyze the resilience of a network of banks to joint price fluctuations of the external assets in which they have shared exposures, and evaluate the worst-case effects of the possible default contagion. Indeed, when the prices of ce
Externí odkaz:
http://arxiv.org/abs/2403.10631
Autor:
Aira, Luca Savant, Valsesia, Diego, Molini, Andrea Bordone, Fracastoro, Giulia, Magli, Enrico, Mirabile, Andrea
Multi-image super-resolution (MISR) allows to increase the spatial resolution of a low-resolution (LR) acquisition by combining multiple images carrying complementary information in the form of sub-pixel offsets in the scene sampling, and can be sign
Externí odkaz:
http://arxiv.org/abs/2401.16972
Publikováno v:
IEEE Control Systems Letters, 6, pp. 3206 - 3211, 2022
The current global financial system forms a highly interconnected network where a default in one of its nodes can propagate to many other nodes, causing a catastrophic avalanche effect. In this paper we consider the problem of reducing the financial
Externí odkaz:
http://arxiv.org/abs/2205.08879
Publikováno v:
In European Journal of Control January 2025 81
This paper proposes a novel dynamical model for determining clearing payments in financial networks. We extend the classical Eisenberg-Noe model of financial contagion to multiple time periods, allowing financial operations to continue after possible
Externí odkaz:
http://arxiv.org/abs/2201.12898
Semi-supervised learning techniques are gaining popularity due to their capability of building models that are effective, even when scarce amounts of labeled data are available. In this paper, we present a framework and specific tasks for self-superv
Externí odkaz:
http://arxiv.org/abs/2108.09075
The dataset described in this paper contains daily data about COVID-19 cases that occurred in Italy over the period from Jan. 28, 2020 to March 20, 2021, divided into ten age classes of the population, the first class being 0-9 years, the tenth class
Externí odkaz:
http://arxiv.org/abs/2104.06199
In this paper, we present a deep learning model that exploits the power of self-supervision to perform 3D point cloud completion, estimating the missing part and a context region around it. Local and global information are encoded in a combined embed
Externí odkaz:
http://arxiv.org/abs/2103.16671
Graph neural networks have become a staple in problems addressing learning and analysis of data defined over graphs. However, several results suggest an inherent difficulty in extracting better performance by increasing the number of layers. Recent w
Externí odkaz:
http://arxiv.org/abs/2103.15565
Financial networks are characterized by complex structures of mutual obligations. These obligations are fulfilled entirely or in part (when defaults occur) via a mechanism called clearing, which determines a set of payments that settle the claims by
Externí odkaz:
http://arxiv.org/abs/2103.10872