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of 636
pro vyhledávání: '"Morvant A"'
In statistical learning theory, a generalization bound usually involves a complexity measure imposed by the considered theoretical framework. This limits the scope of such bounds, as other forms of capacity measures or regularizations are used in alg
Externí odkaz:
http://arxiv.org/abs/2402.13285
In [Bonito et al., J. Comput. Phys. (2022)], a local discontinuous Galerkin method was proposed for approximating the large bending of prestrained plates, and in [Bonito et al., IMA J. Numer. Anal. (2023)] the numerical properties of this method were
Externí odkaz:
http://arxiv.org/abs/2311.04810
We review different (reduced) models for thin structures using bending as principal mechanism to undergo large deformations. Each model consists in the minimization of a fourth order energy, potentially subject to a nonconvex constraint. Equilibrium
Externí odkaz:
http://arxiv.org/abs/2212.11488
Autor:
van Mersbergen, Miriam, Marchetta, Jeffrey, Foti, Daniel, Pillow, Eric, Dasgupta, Apartim, Cain, Chandler, Morvant, Stephen
The study of aerosols and droplets emitted from the oral cavity has become increasingly important throughout the COVID-19 pandemic. Studies show particulates emitted while speaking were generally much smaller compared to coughing or sneezing. However
Externí odkaz:
http://arxiv.org/abs/2206.02524
Publikováno v:
In Forensic Science International November 2024 364
Autor:
Zantedeschi, Valentina, Viallard, Paul, Morvant, Emilie, Emonet, Rémi, Habrard, Amaury, Germain, Pascal, Guedj, Benjamin
Publikováno v:
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
We investigate a stochastic counterpart of majority votes over finite ensembles of classifiers, and study its generalization properties. While our approach holds for arbitrary distributions, we instantiate it with Dirichlet distributions: this allows
Externí odkaz:
http://arxiv.org/abs/2106.12535
Autor:
Caroline Bodet-Milin, Cyrille Morvant, Thomas Carlier, Gauthier Frecon, Olivier Tournilhac, Violaine Safar, Françoise Kraeber-Bodere, Steven Le Gouill, Elizabeth Macintyre, Clément Bailly
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-5 (2023)
Abstract The prognostic value of 18F-Fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) at baseline or the predictive value of minimal residual disease (MRD) detection appear as potential tools to improve mantle cell lym
Externí odkaz:
https://doaj.org/article/12ab4485dc6a403a83714d14159ddc9f
Publikováno v:
ECML PKDD 2021, Sep 2021, Bilbao, Spain
In the PAC-Bayesian literature, the C-Bound refers to an insightful relation between the risk of a majority vote classifier (under the zero-one loss) and the first two moments of its margin (i.e., the expected margin and the voters' diversity). Until
Externí odkaz:
http://arxiv.org/abs/2104.13626
Publikováno v:
NeurIPS 2021, Dec 2021, Sydney, Australia
We propose the first general PAC-Bayesian generalization bounds for adversarial robustness, that estimate, at test time, how much a model will be invariant to imperceptible perturbations in the input. Instead of deriving a worst-case analysis of the
Externí odkaz:
http://arxiv.org/abs/2102.11069
PAC-Bayesian bounds are known to be tight and informative when studying the generalization ability of randomized classifiers. However, they require a loose and costly derandomization step when applied to some families of deterministic models such as
Externí odkaz:
http://arxiv.org/abs/2102.08649