Zobrazeno 1 - 10
of 140 981
pro vyhledávání: '"Claudio, A. P."'
Link Prediction is a foundational task in Graph Representation Learning, supporting applications like link recommendation, knowledge graph completion and graph generation. Graph Neural Networks have shown the most promising results in this domain and
Externí odkaz:
http://arxiv.org/abs/2412.10895
In this talk we will report on a study of the $\theta$-dependence of the string tension and of the mass gap of four-dimensional SU($N$) Yang--Mills theories. The spectrum at $N=3$ and $N=6$ was obtained on the lattice at various imaginary values of t
Externí odkaz:
http://arxiv.org/abs/2411.14022
Autor:
Faham, Hesham El, Mimasu, Ken, Pagani, Davide, Severi, Claudio, Vryonidou, Eleni, Zaro, Marco
In the Standard Model (SM), electroweak (EW) corrections become significant at high energies, particularly at the tera-electronvolt scale and beyond, due to the presence of Sudakov logarithms. At these energy scales, the Standard Model Effective Fiel
Externí odkaz:
http://arxiv.org/abs/2412.16076
This paper presents a new approach to fine-tuning OpenAI's Whisper model for low-resource languages by introducing a novel data generation method that converts sentence-level data into a long-form corpus, using Swiss German as a case study. Non-sente
Externí odkaz:
http://arxiv.org/abs/2412.15726
In this work, we present sufficient cancellation conditions for the boundedness of inhomogeneous Calder\'on-Zygmund type operators on local Hardy spaces defined over spaces of homogeneous type in the sense of Coifman & Weiss for $ 0
Externí odkaz:
http://arxiv.org/abs/2412.14994
Autor:
Carillo, Sandra, Giorgi, Claudio
The term material with memory is generally used to indicate materials whose mechanical and/or thermodynamical behaviour depends not only on the process at the present time but also on the history of the process itself. Crucial in heat conductors with
Externí odkaz:
http://arxiv.org/abs/2412.14725
Autor:
Offidani, Mauro Nievas, Roffet, Facundo, Delrieux, Claudio Augusto, Galtier, Maria Carolina Gonzalez, Zarate, Marcos
Classification is a fundamental task in machine learning. While conventional methods-such as binary, multiclass, and multi-label classification-are effective for simpler problems, they may not adequately address the complexities of some real-world sc
Externí odkaz:
http://arxiv.org/abs/2412.14299
For every positive integer $n$ we construct an example of a subgroup $L< G$ of a linear ${\rm CAT}(0)$ group $G$ such that $L$ is of finiteness type $\mathcal{F}_{n-1}$ and not $\mathcal{F}_n$, and $L$ does not admit a representation into $\mathsf{GL
Externí odkaz:
http://arxiv.org/abs/2412.14081
Autor:
Bonanno, Claudio, Butti, Pietro, Pérez, Margarita García, González-Arroyo, Antonio, Ishikawa, Ken-Ichi, Okawa, Masanori
We present the first lattice determination of the SUSY $\mathrm{SU}(N)$ Yang-Mills gluino condensate at large $N$. We exploit large-$N$ twisted volume reduction, and present two determinations based on the Banks-Casher relation and on a Gell-Mann-Oak
Externí odkaz:
http://arxiv.org/abs/2412.14067
As large language models (LLMs) become increasingly embedded in everyday applications, ensuring their alignment with the diverse preferences of individual users has become a critical challenge. Currently deployed approaches typically assume homogeneo
Externí odkaz:
http://arxiv.org/abs/2412.13998