Zobrazeno 1 - 10
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pro vyhledávání: '"Prévost A"'
We study the volume of the critical clusters for the percolation of the level sets of the Gaussian free field on metric graphs. On $\mathbb{Z}^d$ below the upper-critical dimension $d=6$, we show that the largest such cluster in a box of side length
Externí odkaz:
http://arxiv.org/abs/2412.06772
Autor:
DeMoor, Michael G., Prevost, John J.
Deep Metric Learning (DML) loss functions traditionally aim to control the forces of separability and compactness within an embedding space so that the same class data points are pulled together and different class ones are pushed apart. Within the c
Externí odkaz:
http://arxiv.org/abs/2408.15656
Medical images are often acquired in different settings, requiring harmonization to adapt to the operating point of algorithms. Specifically, to standardize the physical spacing of imaging voxels in heterogeneous inference settings, images are typica
Externí odkaz:
http://arxiv.org/abs/2407.03681
We investigate the bond percolation model on transient weighted graphs ${G}$ induced by the excursion sets of the Gaussian free field on the corresponding metric graph. Under the sole assumption that its sign clusters do not percolate, we derive an e
Externí odkaz:
http://arxiv.org/abs/2405.17417
We consider a class of percolation models where the local occupation variables have long-range correlations decaying as a power law $\sim r^{-a}$ at large distances $r$, for some $0< a< d$ where $d$ is the underlying spatial dimension. For several of
Externí odkaz:
http://arxiv.org/abs/2403.18787
We investigate the bond percolation model on transient weighted graphs ${G}$ induced by the excursion sets of the Gaussian free field on the corresponding metric graph. We assume that balls in ${G}$ have polynomial volume growth with growth exponent
Externí odkaz:
http://arxiv.org/abs/2312.10030
Autor:
Edouard, Nadaud, Thibault, Geoffroy, Tesnim, Khelifi, Antoun, Yaacoub, Siba, Haidar, NourhÈne, Ben Rabah, Pierre, Aubin Jean, Lionel, Prevost, Benedicte, Le Grand
In this study, we investigate the combination of indicators, including performance, behavioral engagement, and emotional engagement, to identify students experiencing difficulties. We analyzed data from two primary sources: digital traces extracted f
Externí odkaz:
http://arxiv.org/abs/2311.05513
Autor:
Manijeh Mahdavi, Karine Prévost, Philippe Balthazar, Isabelle Fisette-Paul Hus, Élise Duchesne, Nicolas Dumont, Valérie Gagné-Ouellet, Cynthia Gagnon, Isabelle Laforest-Lapointe, Eric Massé
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2097-2108 (2024)
Myotonic dystrophy type 1 (DM1) is a rare autosomal dominant genetic disorder. Although DM1 is primarily characterized by progressive muscular weakness, it exhibits many multisystemic manifestations, such as cognitive deficits, cardiac conduction abn
Externí odkaz:
https://doaj.org/article/b65aaa6264ff428cbdeaafe6263fb378
Autor:
Prévost, Alexis
The study of first passage percolation (FPP) for the random interlacements model has been initiated in arXiv:2112.12096, where it is shown that on $\mathbb{Z}^d$, $d\geq 3$, the FPP distance is comparable to the graph distance with high probability.
Externí odkaz:
http://arxiv.org/abs/2309.03880
Let $X$ be a random walk on the torus of side length $N$ in dimension $d\geq 3$ with uniform starting point, and $t_{\text{cov}}$ be the expected value of its cover time, which is the first time that $X$ has visited every vertex of the torus at least
Externí odkaz:
http://arxiv.org/abs/2309.03192