Zobrazeno 1 - 10
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pro vyhledávání: '"PICCO P"'
With intensive Monte Carlo simulations and finite size scaling we undertake a percolation analysis of Wegner's three-dimensional $\mathbb{Z}_2$ lattice gauge model in equilibrium. We confirm that the loops threading excited plaquettes percolate at th
Externí odkaz:
http://arxiv.org/abs/2409.15123
We consider the critical behavior of two-dimensional Potts models in presence of a bond disorder in which the correlation decays as a power law. In some recent work the thermal sector of this theory was investigated by a renormalization group computa
Externí odkaz:
http://arxiv.org/abs/2407.13456
Autor:
Picco, Gabriele, Fuchs, Leopold, Galindo, Marcos Martínez, Purpura, Alberto, López, Vanessa, Lam, Hoang Thanh
Zero-shot entity and relation classification models leverage available external information of unseen classes -- e.g., textual descriptions -- to annotate input text data. Thanks to the minimum data requirement, Zero-Shot Learning (ZSL) methods have
Externí odkaz:
http://arxiv.org/abs/2406.02245
Autor:
Godrèche, Claude, Picco, Marco
This paper investigates various geometrical properties of interfaces of the two-dimensional voter model. Despite its simplicity, the model exhibits dual characteristics, resembling both a critical system with long-range correlations, while also showi
Externí odkaz:
http://arxiv.org/abs/2405.20885
Publikováno v:
Phys. Rev. E 110, 034120 (2024)
By considering the quench dynamics of two-dimensional frustrated Ising models through numerical simulations, we investigate the dynamical critical behavior on the multicritical Nishimori point (NP). We calculate several dynamical critical exponents,
Externí odkaz:
http://arxiv.org/abs/2404.06149
We present an experimental validation of a recently proposed optimization technique for reservoir computing, using an optoelectronic setup. Reservoir computing is a robust framework for signal processing applications, and the development of efficient
Externí odkaz:
http://arxiv.org/abs/2401.14371
Speech recognition is a critical task in the field of artificial intelligence and has witnessed remarkable advancements thanks to large and complex neural networks, whose training process typically requires massive amounts of labeled data and computa
Externí odkaz:
http://arxiv.org/abs/2312.06558
Autor:
Picco, Gabriele, Fortugno, Andrea
In the realm of open and composable gaming, we envision platforms where users actively expand, create, engage, and immerse themselves in a rich world of entertainment. One promising avenue for achieving this vision is through fully on-chain (FOC) gam
Externí odkaz:
http://arxiv.org/abs/2311.02650
Publikováno v:
A&A 681, A31 (2024)
Merging double compact objects (CO) represent the inferred sources of every detected gravitational wave (GW) signal, thus modeling their progenitors is important to constrain stellar evolution theory. Stable mass transfer (MT) between a donor star an
Externí odkaz:
http://arxiv.org/abs/2309.05736
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-3-2024, Pp 63-70 (2024)
The ability of Earth observation and remote sensing to identify the potential of species to restore ecosystems is a critical element in combating habitat degradation and biodiversity loss. Historical climate data and current species occurrence, coupl
Externí odkaz:
https://doaj.org/article/573e9abb94e54fa9964cd6d7d130c489
