Zobrazeno 1 - 10
of 24 145
pro vyhledávání: '"Delmas, A"'
Aligning multiple modalities in a latent space, such as images and texts, has shown to produce powerful semantic visual representations, fueling tasks like image captioning, text-to-image generation, or image grounding. In the context of human-centri
Externí odkaz:
http://arxiv.org/abs/2409.06535
We consider an infinite-dimension SIS model introduced by Delmas, Dronnier and Zitt, with a more general incidence rate, and study its equilibria. Unsurprisingly, there exists at least one endemic equilibrium if and only if the basic reproduction num
Externí odkaz:
http://arxiv.org/abs/2408.00034
Autor:
Wysocki, Oskar, Wysocka, Magdalena, Carvalho, Danilo, Bogatu, Alex Teodor, Gusicuma, Danilo Miranda, Delmas, Maxime, Unsworth, Harriet, Freitas, Andre
We present BioLunar, developed using the Lunar framework, as a tool for supporting biological analyses, with a particular emphasis on molecular-level evidence enrichment for biomarker discovery in oncology. The platform integrates Large Language Mode
Externí odkaz:
http://arxiv.org/abs/2406.18626
Autor:
Lesage, Benjamin, Boniol, Frédéric, Delmas, Kevin, Gauffriau, Adrien, Gonzalez, Alfonso Mascarenas, Pagetti, Claire
The emergence of Deep Neural Network (DNN) and machine learning-based applications paved the way for a new generation of hybrid hardware platforms. Hybrid platforms embed several cores and accelerators in a small package. However, in order to satisfy
Externí odkaz:
http://arxiv.org/abs/2406.12346
Autor:
Rogers, Mitchell, Knowles, Kobe, Gendron, Gaël, Heidari, Shahrokh, Valdez, David Arturo Soriano, Azhar, Mihailo, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Delmas, Patrice
Deep learning approaches for animal re-identification have had a major impact on conservation, significantly reducing the time required for many downstream tasks, such as well-being monitoring. We propose a method called Recurrence over Video Frames
Externí odkaz:
http://arxiv.org/abs/2406.13002
With the increasing use of neural networks in critical systems, runtime monitoring becomes essential to reject unsafe predictions during inference. Various techniques have emerged to establish rejection scores that maximize the separability between t
Externí odkaz:
http://arxiv.org/abs/2405.08654
We are interested in the branching capacity of the range of a random walk in $\mathbb Z^d$.Schapira [28] has recently obtained precise asymptotics in the case $d\ge 6$ and has demonstrated a transition at dimension $d=6$. We study the case $d=5$ and
Externí odkaz:
http://arxiv.org/abs/2404.19447
We discuss transformations on matrices that preserve the effective spectrum and/or the effective spectral radius.
Comment: arXiv admin note: text overlap with arXiv:2103.10330
Comment: arXiv admin note: text overlap with arXiv:2103.10330
Externí odkaz:
http://arxiv.org/abs/2406.12857
The branching capacity has been introduced by [Zhu 2016] as the limit of the hitting probability of a symmetric branching random walk in $\mathbb Z^d$, $d\ge 5$. Similarly, we define the Brownian snake capacity in $\mathbb R^d$, as the scaling limit
Externí odkaz:
http://arxiv.org/abs/2402.13735
We prove a multivariate central limit theorem for the numbers of critical points above a level with all possible indexes of a non-necessarily isotropic Gaussian random field. In particular, we discuss the non-degeneracy of the limit variance-covarian
Externí odkaz:
http://arxiv.org/abs/2401.09117