Guillaume Perrin

According to our database, Guillaume Perrin authored at least 26 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Joint Outdoor Ozone and Carbon Monoxide Prediction with a Carbon Nanotube Sensor Array Calibrated Using a Bayesian Framework.

Marine Dumon, Guillaume Perrin, Bérengère Lebental

Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

2023

Active Learning of Tree Tensor Networks using Optimal Least Squares.

Cécile Haberstich, Anthony Nouy, Guillaume Perrin

SIAM/ASA J. Uncertain. Quantification, September, 2023

A Calibration Process for Environmental Sensor Array Supporting Uncertainties and Unknown Perturbing Factors: Performances on Simulated and Real Data.

Marine Dumon, Bérengère Lebental, Guillaume Perrin

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

Boosted optimal weighted least-squares.

Cécile Haberstich, Anthony Nouy, Guillaume Perrin

Math. Comput., 2022

A comparison of mixed-variables Bayesian optimization approaches.

Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière

Adv. Model. Simul. Eng. Sci., 2022

Uncertainty-based performance evaluation of a carbon nanotube-based sensor array monitoring pH and active chlorine in drink water.

Bérengère Lebental, Guillaume Perrin

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022

Water and air quality monitoring with multiparameter chemical sensors Managing non-idealities from lab to field.

Bérengère Lebental, Stephane Bila, Eric Cloutet, Corinne Dejous, Hamida Hallil, Stéphane Laporte, Bernard Bobby Ngoune, Guillaume Perrin, Yan Ulanowski

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021

Point process-based approaches for the reliability analysis of systems modeled by costly simulators.

Guillaume Perrin

Reliab. Eng. Syst. Saf., 2021

2020

Adaptive calibration of a computer code with time-series output.

Guillaume Perrin

Reliab. Eng. Syst. Saf., 2020

Adaptive early classification of temporal sequences using deep reinforcement learning.

Coralie Martinez, Emmanuel Ramasso, Guillaume Perrin, Michèle Rombaut

Knowl. Based Syst., 2020

Group Kernels for Gaussian Process Metamodels with Categorical Inputs.

Olivier Roustant, Esperan Padonou, Yves Deville, Aloïs Clément, Guillaume Perrin, Jean Giorla, Henry P. Wynn

SIAM/ASA J. Uncertain. Quantification, 2020

Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework.

Guillaume Perrin, Christian Soize

Comput. Stat., 2020

An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs.

Sophie Marque-Pucheu, Guillaume Perrin, Josselin Garnier

Comput. Stat., 2020

2019

Efficient Evaluation of Reliability-Oriented Sensitivity Indices.

Guillaume Perrin, G. Defaux

J. Sci. Comput., 2019

2018

Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints.

Guillaume Perrin, Christian Soize, N. Ouhbi

Comput. Stat. Data Anal., 2018

A Deep Reinforcement Learning Approach for Early Classification of Time Series.

Coralie Martinez, Guillaume Perrin, Emmanuel Ramasso, Michèle Rombaut

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Nested polynomial trends for the improvement of Gaussian process-based predictors.

Guillaume Perrin, Christian Soize, Sophie Marque-Pucheu, Josselin Garnier

J. Comput. Phys., 2017

2016

Active learning surrogate models for the conception of systems with multiple failure modes.

Guillaume Perrin

Reliab. Eng. Syst. Saf., 2016

2014

A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations.

Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling

SIAM/ASA J. Uncertain. Quantification, 2014

2013

Karhunen-Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis.

Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling

J. Comput. Phys., 2013

2012

Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations.

Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling

SIAM J. Sci. Comput., 2012

2006

Etude du couvert forestier par processus ponctuels marqués. (Tree crown extraction using Marked Point Processes).

Guillaume Perrin

PhD thesis, 2006

2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes.

Guillaume Perrin, Xavier Descombes, Josiane Zerubia

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

A marked point process model for tree crown extraction in plantations.

Guillaume Perrin, Xavier Descombes, Josiane Zerubia

Proceedings of the 2005 International Conference on Image Processing, 2005

Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application.

Guillaume Perrin, Xavier Descombes, Josiane Zerubia

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004

Tree crown extraction using marked point processes.

Guillaume Perrin, Xavier Descombes, Josiane Zerubia

Proceedings of the 2004 12th European Signal Processing Conference, 2004