Zobrazeno 1 - 10
of 630
pro vyhledávání: '"MAURI, ANDREA"'
Graphs are expressive abstractions representing more effectively relationships in data and enabling data science tasks. They are also a widely adopted paradigm in causal inference focusing on causal directed acyclic graphs. Causal DAGs (Directed Acyc
Externí odkaz:
http://arxiv.org/abs/2412.13965
Autor:
Pardiñas, Julián García, Calvi, Marta, Eschle, Jonas, Mauri, Andrea, Meloni, Simone, Mozzanica, Martina, Serra, Nicola
The LHCb experiment at the Large Hadron Collider (LHC) is designed to perform high-precision measurements of heavy-hadron decays, which requires the collection of large data samples and a good understanding and suppression of multiple background sour
Externí odkaz:
http://arxiv.org/abs/2304.08610
Autor:
Golutvin, Andrei, Iniukhin, Aleksandr, Mauri, Andrea, Owen, Patrick, Serra, Nicola, Ustyuzhanin, Andrey
Publikováno v:
Eur. Phys. J. C 83, 779 (2023)
We propose a new method based on machine learning to \emph{play the devil's advocate} and investigate the impact of unknown systematic effects in a quantitative way. This method proceeds by reversing the measurement process and using the physics resu
Externí odkaz:
http://arxiv.org/abs/2303.15956
This contribution to the XVth Quark Confinement and the Hadron Spectrum conference covers a description, both theoretical and experimental, of the present status of a set of very different anomalies. The discussion ranges from the long standing $b \t
Externí odkaz:
http://arxiv.org/abs/2211.13030
Autor:
Mauri, Andrea, Hsu, Yen-Chia, Brambilla, Marco, O'Kane, Aisling Ann, Huang, Ting-Hao 'Kenneth', Verma, Himanshu
EmpathiCH aims at bringing together and blend different expertise to develop new research agenda in the context of "Empathy-Centric Design at Scale". The main research question is to investigate how new technologies can contribute to the elicitation
Externí odkaz:
http://arxiv.org/abs/2204.06382
Autor:
Mauri, Andrea, Tocchetti, Andrea, Corti, Lorenzo, Hsu, Yen-Chia, Verma, Himanshu, Brambilla, Marco
Traditional approaches to data-informed policymaking are often tailored to specific contexts and lack strong citizen involvement and collaboration, which are required to design sustainable policies. We argue the importance of empathy-based methods in
Externí odkaz:
http://arxiv.org/abs/2204.06289
Autor:
Hsu, Yen-Chia, Huang, Ting-Hao 'Kenneth', Verma, Himanshu, Mauri, Andrea, Nourbakhsh, Illah, Bozzon, Alessandro
Artificial Intelligence (AI) is increasingly used to analyze large amounts of data in various practices, such as object recognition. We are specifically interested in using AI-powered systems to engage local communities in developing plans or solutio
Externí odkaz:
http://arxiv.org/abs/2110.02007
For $SU(N)$ superconformal QCD we perform a three-loop calculation of the generalized cusp anomalous dimension of the BPS Wilson loop operator using HQET formalism. We obtain an expression which is valid at generic geometric and internal angles and f
Externí odkaz:
http://arxiv.org/abs/1811.08437
Publikováno v:
JHEP 1811(2018)145
In $\mathcal N \geq 2$ superconformal Chern-Simons-matter theories we construct the infinite family of Bogomol'nyi-Prasad-Sommerfield (BPS) Wilson loops featured by constant parametric couplings to scalar and fermion matter, including both line Wilso
Externí odkaz:
http://arxiv.org/abs/1808.01397
Publikováno v:
Phys. Rev. D 99, 013007 (2019)
Rare semileptonic $b \to s \ell^+ \ell^-$ transitions provide some of the most promising frameworks to search for new physics effects. Recent analyses of these decays have indicated an anomalous behaviour in measurements of angular distributions of t
Externí odkaz:
http://arxiv.org/abs/1805.06401