Zobrazeno 1 - 10
of 3 150
pro vyhledávání: '"A Paugam"'
The optimal training of a vision transformer for brain encoding depends on three factors: model size, data size, and computational resources. This study investigates these three pillars, focusing on the effects of data scaling, model scaling, and hig
Externí odkaz:
http://arxiv.org/abs/2410.19810
Autor:
Mihara, Tomoki, Paugam, Frédéric
The aim of this article is twofold. First, we develop the notion of a Banach halo, similar to that of a Banach ring, except that the usual triangular inequality is replaced by the inequality $|a + b| \leq (|a| , |b|)_p$ involving the p-norm for some
Externí odkaz:
http://arxiv.org/abs/2211.04866
Autor:
Paugam, Frédéric
We define and study a generalization of the analytic Cauchy problem, that specializes to the Cauchy-Kowaleskaya-Kashiwara problem in the linear case. The main leitmotive of this text is to adapt Kashiwara's formulation of this problem both to the rel
Externí odkaz:
http://arxiv.org/abs/2211.04860
Autor:
De Jong, Audrey a, Capdevila, Mathieu a, Aarab, Yassir a, Cros, Matthieu a, Pensier, Joris a, Lakbar, Ines a, Monet, Clément a, Quintard, Hervé b, Cinotti, Raphael c, Asehnoune, Karim c, Arnal, Jean-Michel d, Guitton, Christophe e, Paugam-Burtz, Catherine f, Abback, Paer f, Mekontso-Dessap, Armand g, Lakhal, Karim h, Lasocki, Sigismond i, Plantefeve, Gaetan j, Claud, Bernard k, Pottecher, Julien l, Corne, Philippe m, Ichai, Carole b, Molinari, Nicolas n, Chanques, Gerald a, Papazian, Laurent o, Azoulay, Elie p, Jaber, Samir a, ∗
Publikováno v:
In Chest January 2025 167(1):139-151
Autor:
Millon, Laurence, Botterel, Françoise, Bonhomme, Julie, Valot, Stéphane, Poirier, Philippe, Durieux, Marie-Fleur, Bigot, Jeanne, Desoubeaux, Guillaume, Chesnais, Adélaïde, Morio, Florent, Pihet, Marc, Brunet, Kévin, Bellanger, Anne-Pauline, Imbert, Sébastien, Nevez, Gilles, Gal, Solène Le, Bourgeois, Nathalie, Debourgogne, Anne, Cornu, Marjorie, Persat, Florence, Hasseine, Lilia, Bougnoux, Marie-Elisabeth, Brun, Sophie, Cornet, Muriel, Favennec, Loïc, Gargala, Gilles, Bonnal, Christine, Gangneux, Jean-Pierre, Alanio, Alexandre, Iriart, Xavier, Mahinc, Caroline, Chouaki, Taieb, Paugam, André, Letscher-Bru, Valérie, Dannaoui, Eric
Publikováno v:
In Journal of Medical Mycology December 2024 34(4)
Autor:
Ajzenberg, Nadine, Longrois, Dan, Faille, Dorothée, de Tymowski, Christian, De Raucourt, Emmanuelle, Boudaoud, Larbi, Sigaut, Stéphanie, Martin-Toutain, Isabelle, Raux, Mathieu, Helley, Dominique, Josserand, Julien, Flaujac, Claire, Duchemin, Jérome, Samama, Charles-Marc, Gouin-Thibault, Isabelle, Beloeil, Hélène, Peynaud-Debayle, Edith, Keita-Meyer, Hawa, Bourrienne, Marie-Charlotte, Quintin, Caroline, Paugam-Burtz, Catherine, Rosencher, Nadia, Valentin, Jean-Baptiste, Giboin, Caroline, Tubach, Florence
Publikováno v:
In Journal of Thrombosis and Haemostasis November 2024 22(11):3048-3058
Publikováno v:
Qualitative Research in Accounting & Management, 2023, Vol. 20, Issue 5, pp. 675-694.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/QRAM-09-2022-0147
Autor:
Deniau, Benjamin, Ricbourg, Aude, Weiss, Emmanuel, Paugam-Burtz, Catherine, Bonnet, Marie-Pierre, Goffinet, François, Mignon, Alexandre, Morel, Olivier, Le Guen, Morgan, Binczak, Marie, Carbonnel, Marie, Michelet, Daphné, Dahmani, Souhayl, Pili-Floury, Sébastien, Ducloy Bouthors, Anne Sophie, Mebazaa, Alexandre, Gayat, Etienne ⁎
Publikováno v:
In Anaesthesia Critical Care & Pain Medicine April 2024 43(2)
Autor:
Hao-Ting Wang, Steven L Meisler, Hanad Sharmarke, Natasha Clarke, Nicolas Gensollen, Christopher J Markiewicz, François Paugam, Bertrand Thirion, Pierre Bellec
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011942 (2024)
Reducing contributions from non-neuronal sources is a crucial step in functional magnetic resonance imaging (fMRI) connectivity analyses. Many viable strategies for denoising fMRI are used in the literature, and practitioners rely on denoising benchm
Externí odkaz:
https://doaj.org/article/80ca0fd6af574cc798f616a11a8192a7
In order to help physicists to expand their knowledge of the climate in the Lesser Antilles, we aim to identify the spatio-temporal configurations using clustering analysis on wind speed and cumulative rainfall datasets. But we show that using the L2
Externí odkaz:
http://arxiv.org/abs/2006.05603