Sébastien Marmin
Sébastien Marmin
Research associate in Data Science at EURECOM - Docteur en mathématiques et en statistique
Adresse e-mail validée de mailbox.org
TitreCitée parAnnée
Differentiating the multipoint Expected Improvement for optimal batch design
S Marmin, C Chevalier, D Ginsbourger
International Workshop on Machine Learning, Optimization and Big Data, 37-48, 2015
312015
Warped Gaussian Processes and Derivative-Based Sequential Designs for Functions with Heterogeneous Variations
S Marmin, D Ginsbourger, J Baccou, J Liandrat
SIAM/ASA Journal on Uncertainty Quantification 6 (3), 991-1018, 2018
92018
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors
S Marmin, C Chevalier, D Ginsbourger
arXiv preprint arXiv:1609.02700, 2016
92016
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
S Rossi, S Marmin, M Filippone
arXiv preprint arXiv:1905.11248, 2019
12019
Planification adaptative d'expériences numériques par paquets en contexte non stationnaire pour une étude de fissuration mécanique
S Marmin, J Baccou, F Péralès, D Ginsbourger, J Liandrat
Congrès français de mécanique, 2017
12017
Processus gaussiens déformés pour l'apprentissage de zones instationnaires
S Marmin, D Ginsbourger, J Baccou, F Perales, J Liandrat
12015
Efficient Approximate Inference with Walsh-Hadamard Variational Inference
S Rossi, S Marmin, M Filippone
arXiv preprint arXiv:1912.00015, 2019
2019
Kernel computations from large-scale random features obtained by Optical Processing Units
R Ohana, J Wacker, J Dong, S Marmin, F Krzakala, M Filippone, L Daudet
arXiv preprint arXiv:1910.09880, 2019
2019
Variational Calibration of Computer Models
S Marmin, M Filippone
arXiv preprint arXiv:1810.12177, 2018
2018
Non-parametric warping via local scale estimation for non-stationary Gaussian process modelling
S Marmin, J Baccou, J Liandrat, D Ginsbourger
Wavelets and Sparsity XVII 10394, 1039421, 2017
2017
Adaptive design experiment and non-stationary kriging: applications to uncertainty analysis in nuclear mechanical studies
S Marmin, D Ginsbourger, J Baccou, J Liandrat, F Perales
2015
Adaptive design for the estimation of high-variation regions using non-stationary Gaussian process models
S Marmin, D Ginsbourger, J Baccou, J Liandrat, F Perales
Eighth International Workshop on Simulation, 2015
2015
Sequential multipoint Expected improvement (qEI) maximizations and model re-estimation
S Marmin, C Chevalier, D Ginsbourger
qEI. grad: Gradient of the multipoint expected improvement (qEI)...
S Marmin, C Chevalier, D Ginsbourger
Gradient of the multipoint expected improvement (qEI) criterion
S Marmin, C Chevalier, D Ginsbourger
max_qEI: Maximization of multipoint expected improvement criterion...
S Marmin, C Chevalier, D Ginsbourger
qEI: Analytical expression of the multipoint expected improvement...
S Marmin, C Chevalier, D Ginsbourger
qEGO. nsteps: Sequential multipoint Expected improvement (qEI)...
S Marmin, C Chevalier, D Ginsbourger
Maximization of multipoint expected improvement criterion (qEI)
S Marmin, C Chevalier, D Ginsbourger
Analytical expression of the multipoint expected improvement (qEI) criterion
S Marmin, C Chevalier, D Ginsbourger
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