Zobrazeno 1 - 10
of 2 360
pro vyhledávání: '"Trigila, A."'
Autor:
Alfonso, Jason, Baptista, Ricardo, Bhakta, Anupam, Gal, Noam, Hou, Alfin, Lyubimova, Isa, Pocklington, Daniel, Sajonz, Josef, Trigila, Giulio, Tsai, Ryan
Sampling conditional distributions is a fundamental task for Bayesian inference and density estimation. Generative models, such as normalizing flows and generative adversarial networks, characterize conditional distributions by learning a transport m
Externí odkaz:
http://arxiv.org/abs/2307.04102
Autor:
Leccese, Veronica, Caldara, Michele, Bisi, Samuele, Pagano, Marcello, Gargiulo, Simone, Trigila, Carlotta, Bertsch, Arnaud, Mapelli, Alessandro, Carbone, Fabrizio
A novel beam profiler based on microstructured scintillation resin is presented. The detector consists of a bundle of waveguides, with an active area of 30 x 30 mm$^2$ and a pitch of 400 $\mu$m, obtained by molding a scintillating resin into a microf
Externí odkaz:
http://arxiv.org/abs/2308.15981
Publikováno v:
Il Foro Italiano, 1934 Jan 01. 59, 961/962-965/966.
Externí odkaz:
https://www.jstor.org/stable/23129856
Autor:
Leccese, Veronica, Caldara, Michele, Bisi, Samuele, Pagano, Marcello, Gargiulo, Simone, Trigila, Carlotta, Bertsch, Arnaud, Mapelli, Alessandro, Carbone, Fabrizio
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A May 2024 1062
A new method is proposed for the solution of the data-driven optimal transport barycenter problem and of the more general distributional barycenter problem that the article introduces. The method improves on previous approaches based on adversarial g
Externí odkaz:
http://arxiv.org/abs/2104.14329
A data driven procedure is developed to compute the optimal map between two conditional probabilities $\rho(x|z_{1},...,z_{L})$ and $\mu(y|z_{1},...,z_{L})$ depending on a set of covariates $z_{i}$. The procedure is tested on synthetic data from the
Externí odkaz:
http://arxiv.org/abs/1910.11422
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 027001 (2024)
The demand for specialized hardware to train AI models has increased in tandem with the increase in the model complexity over the recent years. Graphics processing unit (GPU) is one such hardware that is capable of parallelizing operations performed
Externí odkaz:
https://doaj.org/article/bffc75fa9fb74491b581618458149f32
A game theory inspired methodology is proposed for finding a function's saddle points. While explicit descent methods are known to have severe convergence issues, implicit methods are natural in an adversarial setting, as they take the other player's
Externí odkaz:
http://arxiv.org/abs/1906.00233
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Akademický článek
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