Staphylococcus Aureus Carriage in French Athletes at Risk of CA-MRSA Infection: a Prospective, Cross-sectional Study.
Elodie Couvé-Deacon
,
Déborah Postil
,
Olivier. Barraud
,
Cécile Duchiron
,
D. Chainier
,
et al.
Sports medicine - Open , 2017, 3 (1), pp.28
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hal-01586267v1
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Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics
Daira Velandia
,
Moreno Bevilacqua
,
François Bachoc
,
Xavier Gendre
,
Jean-Michel Loubes
Article dans une revue
hal-01597076v1
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A Gaussian Process Regression Model for Distribution Inputs
François Bachoc
,
Fabrice Gamboa
,
Jean-Michel Loubes
,
Nil Venet
IEEE Transactions on Information Theory , 2018, 64 (10), pp.6620 - 6637
Article dans une revue
hal-01450002v2
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Gaussian process optimization with failures: classification and convergence proof
François Bachoc
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Céline Helbert
,
Victor Picheny
Article dans une revue
hal-02100819v2
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Hastings-Metropolis algorithm on Markov chains for small-probability estimation
François Bachoc
,
Achref Bachouch
,
Lionel Lenôtre
Article dans une revue
hal-01058939v5
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Cross-validation estimation of covariance parameters under fixed-domain asymptotics
François Bachoc
,
Agnes Lagnoux
,
Thi Mong Ngoc Nguyen
Journal of Multivariate Analysis , 2017, 160, pp.42 - 67
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hal-01377854v2
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A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques
Déborah Idier
,
Axel Aurouet
,
François Bachoc
,
Audrey Baills
,
José Daniel Betancourt
,
et al.
Article dans une revue
hal-03406179v2
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High-dimensional additive Gaussian processes under monotonicity constraints
Andrés F. López-Lopera
,
François Bachoc
,
O Roustant
Advances in Neural Information Processing Systems , Nov 2022, New Orleans, United States
Communication dans un congrès
hal-03695058v1
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Finite-dimensional Gaussian approximation with linear inequality constraints
Andrés F. López-Lopera
,
François Bachoc
,
Nicolas Durrande
,
Olivier Roustant
Article dans une revue
hal-01864332v1
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Geometry-induced Implicit Regularization in Deep ReLU Neural Networks
Joachim Bona-Pellissier
,
François Malgouyres
,
François Bachoc
2024
Pré-publication, Document de travail
hal-04452356v1
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Gaussian process regression model for distribution inputs
François Bachoc
,
Fabrice Gamboa
,
Jean-Michel Loubes
,
Nil Venet
First UQSay seminar on UQ, DACE and related topics (UQSay #01) , Mar 2019, Gif-sur-Yvette, France
Communication dans un congrès
hal-03109928v1
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Posterior contraction rates for constrained deep Gaussian processes in density estimation and classification
François Bachoc
,
Agnès Lagnoux
2021
Pré-publication, Document de travail
hal-03477991v1
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Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
Baptiste Broto
,
François Bachoc
,
Laura Clouvel
,
Jean-Marc Martinez
2020
Pré-publication, Document de travail
hal-02196583v2
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Entropic Variable Boosting for Explainability & Interpretability in Machine Learning
François Bachoc
,
Fabrice Gamboa
,
Jean-Michel Loubes
,
Laurent Risser
2018
Pré-publication, Document de travail
hal-01897642v1
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Bayesian Regression and Classification Using Gaussian Process Priors Indexed by Probability Density Functions
Anis Fradi
,
Y. Feunteun
,
Chafik Samir
,
M. Bakloul
,
François Bachoc
,
et al.
Article dans une revue
hal-02967770v1
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On the post selection inference constant under restricted isometry properties
François Bachoc
,
Gilles Blanchard
,
Pierre Neuvial
Article dans une revue
hal-03327160v3
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Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Andrés López-Lopera
,
François Bachoc
,
Nicolas Durrande
,
Jérémy Rohmer
,
Déborah Idier
,
et al.
International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing , Jul 2018, Rennes, France. pp.363-381,
⟨10.1007/978-3-030-43465-6_18⟩
Communication dans un congrès
hal-02104840v1
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Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
Elie Odin
,
François Bachoc
,
Agnès Lagnoux
2024
Pré-publication, Document de travail
hal-04490400v1
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Fixed-domain asymptotic properties of composite likelihood estimators for Gaussian processes
François Bachoc
,
Agnès Lagnoux
Journal of Statistical Planning and Inference , 2020, 209, pp.62-75
Article dans une revue
hal-02079975v1
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Multioutput Gaussian processes with functional data: A study on coastal flood hazard assessment
Andrés F. López-Lopera
,
Déborah Idier
,
Jeremy Rohmer
,
François Bachoc
Article dans une revue
hal-03412417v2
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Selective inference after convex clustering with $\ell_1$ penalization
François Bachoc
,
Cathy Maugis
,
Pierre Neuvial
2023
Pré-publication, Document de travail
hal-04200062v1
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Ant Colony based model selection for functional-input Gaussian process regression
José Daniel Betancourt
,
François Bachoc
,
Thierry Klein
,
Fabrice Gamboa
[Research Report] D3.b, Institut de Mathématiques de Toulouse & Institut Universitaire de France, UMR 5219, Université de Toulouse, CNRS, UPS IMT. 2020
Rapport
hal-02532713v2
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Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes
François Bachoc
,
José Daniel Betancourt
,
Reinhard Furrer
,
Thierry Klein
Article dans une revue
hal-02388266v1
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Gaussian process metamodeling of functional-input code for coastal flood hazard assessment
José Daniel Betancourt
,
François Bachoc
,
Thierry Klein
,
Déborah Idier
,
Rodrigo Pedreros
,
et al.
Article dans une revue
hal-01998724v2
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Rate of convergence for geometric inference based on the empirical Christoffel function
Mai Trang Vu
,
François Bachoc
,
Edouard Pauwels
Article dans une revue
hal-03593329v1
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funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs
José Daniel Betancourt
,
François Bachoc
,
Thierry Klein
,
Déborah Idier
,
Jérémy Rohmer
,
et al.
2022
Pré-publication, Document de travail
hal-02536624v2
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Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case
François Bachoc
Journal of Multivariate Analysis , 2014, 124, pp.1-35
Article dans une revue
hal-01092042v1
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Parameter identifiability of a deep feedforward ReLU neural network
Joachim Bona-Pellissier
,
François Bachoc
,
François Malgouyres
Machine Learning , 2023, 112, pp.4431-4493
Article dans une revue
hal-03501784v2
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Semi-parametric estimation of the variogram scale parameter of a Gaussian process with stationary increments
Jean-Marc Azaïs
,
François Bachoc
,
Agnès Lagnoux
,
Thi Mong Ngoc Nguyen
Article dans une revue
hal-03022877v1
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Improvement of code behavior in a design of experiments by metamodeling
François Bachoc
,
Karim Ammar
,
Jean-Marc Martinez
Article dans une revue
cea-02382795v1
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