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Inverse modeling to estimate methane surface emission with optimization and reduced models: application of waste landfill plants
Inverse modeling to estimate methane surface emission with optimization and reduced models: application of waste landfill plants
Material Type:
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Inverse modeling to estimate methane surface emission with optimization and reduced models: application of waste landfill plants

Batton-Hubert, Mireille ; Binois, Mickaël ; Padonou, Espéran

Proceedings of the 13th Annual Conference of the European Network for Business and Industrial Statistics (ENBIS-13), 2013

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2
Shapes enhancing the propulsion of multiflagellated helical microswimmers
Shapes enhancing the propulsion of multiflagellated helical microswimmers
Material Type:
Artigo 		Adicionar ao Meu Espaço

Shapes enhancing the propulsion of multiflagellated helical microswimmers

Berti, Luca ; Binois, Mickael ; Alouges, François ; Aussal, Matthieu ; Prud'Homme, Christophe ; Giraldi, Laetitia

Sem texto completo

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3
Shapes enhancing the propulsion of multiflagellated helical microswimmers
Shapes enhancing the propulsion of multiflagellated helical microswimmers
Material Type:
Artigo 		Adicionar ao Meu Espaço

Shapes enhancing the propulsion of multiflagellated helical microswimmers

Berti, Luca ; Binois, Mickaël ; Alouges, François ; Aussal, Matthieu ; Prud'Homme, Christophe ; Giraldi, Laetitia

arXiv.org, 2021-03

Ithaca: Cornell University Library, arXiv.org

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4
Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations
Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations
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Artigo 		Adicionar ao Meu Espaço

Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations

Binois, M. ; Ginsbourger, D. ; Roustant, O.

European journal of operational research, 2015-06, Vol.243 (2), p.386-394 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design
Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design
Material Type:
Tese 		Adicionar ao Meu Espaço

Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design

Binois, Mickaël

Sem texto completo

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6
Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design
Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design
Material Type:
Tese 		Adicionar ao Meu Espaço

Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design

Binois, Mickaël

2015

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7
On the choice of the low-dimensional domain for global optimization via random embeddings
On the choice of the low-dimensional domain for global optimization via random embeddings
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Artigo 		Adicionar ao Meu Espaço

On the choice of the low-dimensional domain for global optimization via random embeddings

Binois, Mickaël ; Ginsbourger, David ; Roustant, Olivier

Journal of global optimization, 2020, Vol.76 (1), p.69-90 [Periódico revisado por pares]

New York: Springer US

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8
On the choice of the low-dimensional domain for global optimization via random embeddings
On the choice of the low-dimensional domain for global optimization via random embeddings
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Artigo 		Adicionar ao Meu Espaço

On the choice of the low-dimensional domain for global optimization via random embeddings

Binois, Mickaël ; Ginsbourger, David ; Roustant, Olivier

arXiv.org, 2018-10

Ithaca: Cornell University Library, arXiv.org

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9
Practical heteroskedastic Gaussian process modeling for large simulation experiments
Practical heteroskedastic Gaussian process modeling for large simulation experiments
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Artigo 		Adicionar ao Meu Espaço

Practical heteroskedastic Gaussian process modeling for large simulation experiments

Binois, Mickael ; Gramacy, Robert B ; Ludkovski, Michael

arXiv.org, 2017-11

Ithaca: Cornell University Library, arXiv.org

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10
A game theoretic perspective on Bayesian multi-objective optimization
A game theoretic perspective on Bayesian multi-objective optimization
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Artigo 		Adicionar ao Meu Espaço

A game theoretic perspective on Bayesian multi-objective optimization

Binois, Mickael ; Habbal, Abderrahmane ; Picheny, Victor

arXiv.org, 2021-04

Ithaca: Cornell University Library, arXiv.org

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