Guillaume Perrin

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 20

Top Venues

CoRR

SIAM/ASA J. Uncertain. Quantification

Reliab. Eng. Syst. Saf.

Comput. Stat.

École Centrale Paris, Châtenay-Malabry, France (PHD)

Education History

École Centrale Paris, Châtenay-Malabry, France

PHD

Publications

Cécile Haberstich, Anthony Nouy, Guillaume Perrin
Active Learning of Tree Tensor Networks using Optimal Least Squares. SIAM/ASA J. Uncertain. Quantification 11 (3) (2023)
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)
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) (2022)
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)
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)
Cécile Haberstich, Anthony Nouy, Guillaume Perrin
Boosted optimal weighted least-squares. Math. Comput. 91 (335) (2022)
Guillaume Perrin
Point process-based approaches for the reliability analysis of systems modeled by costly simulators. Reliab. Eng. Syst. Saf. 214 (2021)
Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière
A comparison of mixed-variables Bayesian optimization approaches. CoRR (2021)
Cécile Haberstich, Anthony Nouy, Guillaume Perrin
Active learning of tree tensor networks using optimal least-squares. CoRR (2021)
Guillaume Perrin, Christian Soize
Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework. Comput. Stat. 35 (1) (2020)
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) (2020)
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) (2020)
Guillaume Perrin
Adaptive calibration of a computer code with time-series output. Reliab. Eng. Syst. Saf. 196 (2020)
Coralie Martinez, Emmanuel Ramasso, Guillaume Perrin, Michèle Rombaut
Adaptive early classification of temporal sequences using deep reinforcement learning. Knowl. Based Syst. 190 (2020)
Guillaume Perrin, G. Defaux
Efficient Evaluation of Reliability-Oriented Sensitivity Indices. J. Sci. Comput. 79 (3) (2019)
Cécile Haberstich, Anthony Nouy, Guillaume Perrin
Boosted optimal weighted least-squares. CoRR (2019)
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 (2018)
Coralie Martinez, Guillaume Perrin, Emmanuel Ramasso, Michèle Rombaut
A Deep Reinforcement Learning Approach for Early Classification of Time Series. EUSIPCO (2018)
Guillaume Perrin, Christian Soize, Sophie Marque-Pucheu, Josselin Garnier
Nested polynomial trends for the improvement of Gaussian process-based predictors. J. Comput. Phys. 346 (2017)
Guillaume Perrin
Active learning surrogate models for the conception of systems with multiple failure modes. Reliab. Eng. Syst. Saf. 149 (2016)
Guillaume Perrin, Christian Soize, D. 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) (2014)
Guillaume Perrin, Christian Soize, D. Duhamel, C. Funfschilling
Karhunen-Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis. J. Comput. Phys. 242 (2013)
Guillaume Perrin, Christian Soize, D. Duhamel, C. Funfschilling
Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations. SIAM J. Sci. Comput. 34 (6) (2012)
Guillaume Perrin, Xavier Descombes, Josiane Zerubia
2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes. ICPR (1) (2006)
Guillaume Perrin, Xavier Descombes, Josiane Zerubia
Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application. EMMCVPR (2005)
Guillaume Perrin, Xavier Descombes, Josiane Zerubia
A marked point process model for tree crown extraction in plantations. ICIP (1) (2005)
Guillaume Perrin, Xavier Descombes, Josiane Zerubia
Tree crown extraction using marked point processes. EUSIPCO (2004)

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Publication Activity (10 Years)

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Guillaume Perrin