Zobrazeno 1 - 10
of 3 791
pro vyhledávání: '"Castellana, A."'
Autor:
Lacoste, David, Castellana, Michele
We present an improvement of the Gillespie Exact Stochastic Simulation Algorithm, which leverages a bitwise representation of variables to perform independent simulations in parallel. We show that the subsequent gain in computational yield is signifi
Externí odkaz:
http://arxiv.org/abs/2412.16613
Autor:
Castellana, Daniele
In the context of machine learning for graphs, many researchers have empirically observed that Deep Graph Networks (DGNs) perform favourably on node classification tasks when the graph structure is homophilic (\ie adjacent nodes are similar). In this
Externí odkaz:
http://arxiv.org/abs/2405.01247
Autor:
Depalma, N., Ugo, S. D, Manoochehri, F., Libia, A., Sergi, W., Marchese, T. R. L., Forciniti, S., del Mercato, L. L., Piscitelli, P., Garritano, S., Castellana, F., Zupo, R., Spampinato, M. G.
Publikováno v:
Cancers 2023, 15, 23, 5528
Background: To date, no standardized protocols nor a quantitative assessment of the near-infrared fluorescence angiography with indocyanine green (NIR-ICG) are available. The aim of this study was to evaluate the timing of fluorescence as a reproduci
Externí odkaz:
http://arxiv.org/abs/2403.01844
Autor:
Agliari, Elena, Alemanno, Francesco, Barra, Adriano, Castellana, Michele, Lotito, Daniele, Piel, Matthieu
Although instantaneous interactions are unphysical, a large variety of maximum entropy statistical inference methods match the model-inferred and the empirically-measured equal-time correlation functions. Focusing on collective motion of active units
Externí odkaz:
http://arxiv.org/abs/2309.01229
Autor:
Castellana, Daniele, Errica, Federico
Publikováno v:
MLG Workshop at ECMLPKDD 2023
In the past, the dichotomy between homophily and heterophily has inspired research contributions toward a better understanding of Deep Graph Networks' inductive bias. In particular, it was believed that homophily strongly correlates with better node
Externí odkaz:
http://arxiv.org/abs/2308.09570
We prove that a jointly conservative family of geometric functors between rigidly-compactly generated tensor triangulated categories induces a surjective map on Balmer spectra. From this we deduce a fiberwise criterion for Balmer's comparison map to
Externí odkaz:
http://arxiv.org/abs/2305.05604
We investigate to what extent we can descend the classification of localizing, smashing and thick ideals in a presentably symmetric monoidal stable $\infty$-category $\mathscr{C}$ along a descendable commutative algebra $A$. We establish equalizer di
Externí odkaz:
http://arxiv.org/abs/2305.02308
Autor:
Emma Gotti, Tiziana Doldo, Fabio Castellana, Mauro Cozzani, Antonio Manni, Giorgio Gastaldi, Andrea Boggio
Publikováno v:
Oral, Vol 4, Iss 3, Pp 417-440 (2024)
(1) Objectives: The purpose of this review was to compare the effects of combining skeletal anchorage and Class II devices, both from an overall perspective and individually for each type of appliance, considering as main outcomes the vertical dimens
Externí odkaz:
https://doaj.org/article/b328f5e2d922490eacb762d5acd993e3
Autor:
Catherine K. Xu, Georg Meisl, Ewa A. Andrzejewska, Georg Krainer, Alexander J. Dear, Marta Castellana-Cruz, Soma Turi, Irina A. Edu, Giorgio Vivacqua, Raphaël P. B. Jacquat, William E. Arter, Maria Grazia Spillantini, Michele Vendruscolo, Sara Linse, Tuomas P. J. Knowles
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Oligomeric species arising during the aggregation of α-synuclein are implicated as a major source of toxicity in Parkinson’s disease, and thus a major potential drug target. However, both their mechanism of formation and role in aggregati
Externí odkaz:
https://doaj.org/article/a4d1104eb0184ade8af0b5e5b4fb8983
We develop a theory of cosupport and costratification in tensor triangular geometry. We study the geometric relationship between support and cosupport, provide a conceptual foundation for cosupport as categorically dual to support, and discover surpr
Externí odkaz:
http://arxiv.org/abs/2303.13480