Guillaume Perrin

Orcid: 0000-0002-0592-6094

According to our database1, Guillaume Perrin authored at least 25 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Active Learning of Tree Tensor Networks using Optimal Least Squares.
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.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022
Boosted optimal weighted least-squares.
Math. Comput., 2022

A comparison of mixed-variables Bayesian optimization approaches.
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.
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.
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.
Reliab. Eng. Syst. Saf., 2021

2020
Adaptive calibration of a computer code with time-series output.
Reliab. Eng. Syst. Saf., 2020

Adaptive early classification of temporal sequences using deep reinforcement learning.
Knowl. Based Syst., 2020

Group Kernels for Gaussian Process Metamodels with Categorical Inputs.
SIAM/ASA J. Uncertain. Quantification, 2020

Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework.
Comput. Stat., 2020

An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs.
Comput. Stat., 2020

2019
Efficient Evaluation of Reliability-Oriented Sensitivity Indices.
J. Sci. Comput., 2019

2018
Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints.
Comput. Stat. Data Anal., 2018

A Deep Reinforcement Learning Approach for Early Classification of Time Series.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Nested polynomial trends for the improvement of Gaussian process-based predictors.
J. Comput. Phys., 2017

2016
Active learning surrogate models for the conception of systems with multiple failure modes.
Reliab. Eng. Syst. Saf., 2016

2014
A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations.
SIAM/ASA J. Uncertain. Quantification, 2014

2013
Karhunen-Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis.
J. Comput. Phys., 2013

2012
Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations.
SIAM J. Sci. Comput., 2012

2006
Etude du couvert forestier par processus ponctuels marqués. (Tree crown extraction using Marked Point Processes).
PhD thesis, 2006

2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
A marked point process model for tree crown extraction in plantations.
Proceedings of the 2005 International Conference on Image Processing, 2005

Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004
Tree crown extraction using marked point processes.
Proceedings of the 2004 12th European Signal Processing Conference, 2004


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