Blog
Il Cauchy–Szegö Projection for domains in $\mathbb C^n$ with minimal smoothness: teoria ponderata
Let $D\subset\mathbb C^n$ be a bounded, strongly pseudoconvex domain whose boundary $bD$ satisfies the minimal regularity condition of class $C^2$. UN 2017 result of Lanzani \& Stein afferma che il Cauchy–Szeg\”{o} projection $S_\omega$ defined with respect to a bounded, positive continuous multiple...
TarDiff: Guida alla diffusione orientata al target per l'elettronica sintetica Generazione di serie temporali di record sanitari
Fascicolo sanitario elettronico sintetico (EHR) time-series generation is crucial for advancing clinical machine learning models, as it helps address data scarcity by providing more training data. Tuttavia, most existing approaches focus primarily on replicating statistical distributions and temporal dependencies of real-world data....
Bullone: Vestire personaggi virtuali su larga scala
Vestire personaggi virtuali è un processo lungo e spesso manuale. Gli outfit possono essere composti da più capi, and each garment must be fitted to the unique shape of a character. Since characters can vary widely in size and shape, fitting outfits to...
Partizionamento di grafici multilivello in tempo lineare tramite sparsificazione dei bordi
The current landscape of balanced graph partitioning is divided into high-quality but expensive multilevel algorithms and cheaper approaches with linear running time, come algoritmi a livello singolo e algoritmi di streaming. We demonstrate how to achieve the best of both worlds with a \emph{linear...
Modello di Potts unidimensionale modificato a stato $q$ e sua termodinamica funzioni
Fin dalla sua introduzione, the Potts model has gained widespread popularity across various fields due to its diverse applications. Even minor advancements in this model continue to captivate scientists worldwide, and small modifications often intrigue researchers from different disciplines. This paper investigates a...
Apprendimento profondo disaggregato tramite calcolo in-fisico a radiofrequenza
Dispositivi edge moderni, come le fotocamere, droni, e nodi dell'Internet delle cose, fare affidamento sul deep learning per abilitare un’ampia gamma di applicazioni intelligenti, compreso il riconoscimento degli oggetti, percezione dell'ambiente, and autonomous navigation. Tuttavia, deploying deep learning models directly on the often resource-constrained edge devices...
Sulle equazioni differenziali canoniche per Feynman multiscala di Calabi-Yau integrali
Generalizziamo un metodo recentemente introdotto in letteratura, that derives canonical differential equations, to multi-scale Feynman integrals with an underlying Calabi-Yau geometry. We start by recomputing a canonical form for the sunrise integral with all unequal masses. Inoltre, we compute for...
Sul grado di automatizzazione delle dimostrazioni della somma dei quadrati
The Sum-of-Squares (SoS) hierarchy, also known as Lasserre hierarchy, has emerged as a promising tool in optimization. Tuttavia, it remains unclear whether fixed-degree SoS proofs can be automated [O’Donnell (2017)]. Indeed, there are examples of polynomial systems with bounded coefficients that admit...
First study of neutrino angle reconstruction using quasielastic-like interactions in MicroBooNE
We investigate the expected precision of the reconstructed neutrino direction using a {\non}{\In}-argon quasielastic-like event topology with one muon and one proton in the final state and the reconstruction capabilities of the MicroBooNE liquid argon time projection chamber. This direction is of...
Bringing light into the Landau-Lifshitz-Gilbert equation: Consequences of its fractal non-Markovian memory kernel for optically induced magnetic inertia and magnons
The Landau-Lisfhitz-Gilbert (LLG) equation has been the cornerstone of modeling the dynamics of localized spins, viewed as classical vectors of fixed length, within nonequilibrium magnets. When light is employed as the nonequilibrium drive, the LLG equation must be supplemented with additional terms...