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ORCIDGuillaume Perrin
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2020 – today
- 2023
[j16]Cécile Haberstich, Anthony Nouy, Guillaume Perrin:
Active Learning of Tree Tensor Networks using Optimal Least Squares. SIAM/ASA J. Uncertain. Quantification 11(3): 848-876 (2023)- [c8]Marine Dumon, Bérengère Lebental
, Guillaume Perrin:
A Calibration Process for Environmental Sensor Array Supporting Uncertainties and Unknown Perturbing Factors: Performances on Simulated and Real Data. SENSORS 2023: 1-4 - 2022
- [j15]Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière:
A comparison of mixed-variables Bayesian optimization approaches. Adv. Model. Simul. Eng. Sci. 9(1): 6 (2022) - [j14]Cécile Haberstich, Anthony Nouy, Guillaume Perrin:
Boosted optimal weighted least-squares. Math. Comput. 91(335): 1281-1315 (2022) - [c7]Bérengère Lebental, Stephane Bila, Eric Cloutet, Corinne Dejous, Hamida Hallil, Stéphane Laporte, Bernard Bobby Ngoune, Guillaume Perrin, Yan Ulanowski:
Water and air quality monitoring with multiparameter chemical sensors Managing non-idealities from lab to field. IEEE SENSORS 2022: 1-4 - [c6]Bérengère Lebental, Guillaume Perrin:
Uncertainty-based performance evaluation of a carbon nanotube-based sensor array monitoring pH and active chlorine in drink water. ISOEN 2022: 1-3 - 2021
- [j13]Guillaume Perrin:
Point process-based approaches for the reliability analysis of systems modeled by costly simulators. Reliab. Eng. Syst. Saf. 214: 107799 (2021) - [i3]Cécile Haberstich, Anthony Nouy, Guillaume Perrin:
Active learning of tree tensor networks using optimal least-squares. CoRR abs/2104.13436 (2021) - [i2]Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière:
A comparison of mixed-variables Bayesian optimization approaches. CoRR abs/2111.01533 (2021) - 2020
- [j12]Guillaume Perrin, Christian Soize:
Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework. Comput. Stat. 35(1): 111-133 (2020) - [j11]Sophie Marque-Pucheu, Guillaume Perrin, Josselin Garnier:
An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs. Comput. Stat. 35(3): 1059-1099 (2020) - [j10]Olivier Roustant, Esperan Padonou, Yves Deville, Aloïs Clément, Guillaume Perrin, Jean Giorla, Henry P. Wynn:
Group Kernels for Gaussian Process Metamodels with Categorical Inputs. SIAM/ASA J. Uncertain. Quantification 8(2): 775-806 (2020) - [j9]Coralie Martinez, Emmanuel Ramasso, Guillaume Perrin, Michèle Rombaut:
Adaptive early classification of temporal sequences using deep reinforcement learning. Knowl. Based Syst. 190: 105290 (2020) - [j8]Guillaume Perrin:
Adaptive calibration of a computer code with time-series output. Reliab. Eng. Syst. Saf. 196: 106728 (2020)
2010 – 2019
- 2019
- [j7]Guillaume Perrin, G. Defaux:
Efficient Evaluation of Reliability-Oriented Sensitivity Indices. J. Sci. Comput. 79(3): 1433-1455 (2019) - [i1]Cécile Haberstich, Anthony Nouy, Guillaume Perrin:
Boosted optimal weighted least-squares. CoRR abs/1912.07075 (2019) - 2018
- [j6]Guillaume Perrin, Christian Soize, N. Ouhbi:
Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints. Comput. Stat. Data Anal. 119: 139-154 (2018) - [c5]Coralie Martinez, Guillaume Perrin, Emmanuel Ramasso, Michèle Rombaut:
A Deep Reinforcement Learning Approach for Early Classification of Time Series. EUSIPCO 2018: 2030-2034 - 2017
- [j5]Guillaume Perrin, Christian Soize, Sophie Marque-Pucheu, Josselin Garnier:
Nested polynomial trends for the improvement of Gaussian process-based predictors. J. Comput. Phys. 346: 389-402 (2017) - 2016
- [j4]Guillaume Perrin:
Active learning surrogate models for the conception of systems with multiple failure modes. Reliab. Eng. Syst. Saf. 149: 130-136 (2016) - 2014
- [j3]Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling:
A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations. SIAM/ASA J. Uncertain. Quantification 2(1): 745-762 (2014) - 2013
- [j2]Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling:
Karhunen-Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis. J. Comput. Phys. 242: 607-622 (2013) - 2012
- [j1]Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling:
Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations. SIAM J. Sci. Comput. 34(6) (2012)
2000 – 2009
- 2006
- [b1]Guillaume Perrin:
Etude du couvert forestier par processus ponctuels marqués. (Tree crown extraction using Marked Point Processes). École Centrale Paris, Châtenay-Malabry, France, 2006 - [c4]Guillaume Perrin, Xavier Descombes, Josiane Zerubia:
2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes. ICPR (1) 2006: 1-4 - 2005
- [c3]Guillaume Perrin, Xavier Descombes, Josiane Zerubia:
Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application. EMMCVPR 2005: 3-17 - [c2]Guillaume Perrin, Xavier Descombes, Josiane Zerubia:
A marked point process model for tree crown extraction in plantations. ICIP (1) 2005: 661-664 - 2004
- [c1]Guillaume Perrin, Xavier Descombes, Josiane Zerubia:
Tree crown extraction using marked point processes. EUSIPCO 2004: 2127-2130
Coauthor Index
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