Guillaume Perrin

30 papers Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Bayesian optimization with derivatives acceleration. Trans. Mach. Learn. Res. Guillaume Perrin, Rodolphe Le Riche
2024	—	`conf`	Joint Outdoor Ozone and Carbon Monoxide Prediction with a Carbon Nanotube Sensor Array Calibrated Using a Bayesian Framework. IEEE SENSORS Marine Dumon, Guillaume Perrin, Bérengère Lebental
2023	—	`conf`	A Calibration Process for Environmental Sensor Array Supporting Uncertainties and Unknown Perturbing Factors: Performances on Simulated and Real Data. SENSORS Marine Dumon, Bérengère Lebental, Guillaume Perrin
2023	J	`jnl`	Active Learning of Tree Tensor Networks using Optimal Least Squares. SIAM/ASA J. Uncertain. Quantification Cécile Haberstich, Anthony Nouy, Guillaume Perrin
2022	J	`jnl`	A comparison of mixed-variables Bayesian optimization approaches. Adv. Model. Simul. Eng. Sci. Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière
2022	J	`jnl`	Boosted optimal weighted least-squares. Math. Comput. Cécile Haberstich, Anthony Nouy, Guillaume Perrin
2022	—	`conf`	Uncertainty-based performance evaluation of a carbon nanotube-based sensor array monitoring pH and active chlorine in drink water. ISOEN Bérengère Lebental, Guillaume Perrin
2022	—	`conf`	Water and air quality monitoring with multiparameter chemical sensors Managing non-idealities from lab to field. IEEE SENSORS Bérengère Lebental, Stephane Bila, Eric Cloutet, Corinne Dejous, Hamida Hallil, Stéphane Laporte, Bernard Bobby Ngoune, Guillaume Perrin, Yan Ulanowski
2021	J	`jnl`	A comparison of mixed-variables Bayesian optimization approaches. CoRR Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière
2021	J	`jnl`	Active learning of tree tensor networks using optimal least-squares. CoRR Cécile Haberstich, Anthony Nouy, Guillaume Perrin
2021	J	`jnl`	Point process-based approaches for the reliability analysis of systems modeled by costly simulators. Reliab. Eng. Syst. Saf. Guillaume Perrin
2020	J	`jnl`	Adaptive calibration of a computer code with time-series output. Reliab. Eng. Syst. Saf. Guillaume Perrin
2020	J	`jnl`	Adaptive early classification of temporal sequences using deep reinforcement learning. Knowl. Based Syst. Coralie Martinez, Emmanuel Ramasso, Guillaume Perrin, Michèle Rombaut
2020	J	`jnl`	Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework. Comput. Stat. Guillaume Perrin, Christian Soize
2020	J	`jnl`	An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs. Comput. Stat. Sophie Marque-Pucheu, Guillaume Perrin, Josselin Garnier
2020	J	`jnl`	Group Kernels for Gaussian Process Metamodels with Categorical Inputs. SIAM/ASA J. Uncertain. Quantification Olivier Roustant, Esperan Padonou, Yves Deville, Aloïs Clément, Guillaume Perrin, Jean Giorla, Henry P. Wynn
2019	J	`jnl`	Boosted optimal weighted least-squares. CoRR Cécile Haberstich, Anthony Nouy, Guillaume Perrin
2019	J	`jnl`	Efficient Evaluation of Reliability-Oriented Sensitivity Indices. J. Sci. Comput. Guillaume Perrin, G. Defaux
2018	—	`conf`	A Deep Reinforcement Learning Approach for Early Classification of Time Series. EUSIPCO Coralie Martinez, Guillaume Perrin, Emmanuel Ramasso, Michèle Rombaut
2018	J	`jnl`	Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints. Comput. Stat. Data Anal. Guillaume Perrin, Christian Soize, N. Ouhbi
2017	J	`jnl`	Nested polynomial trends for the improvement of Gaussian process-based predictors. J. Comput. Phys. Guillaume Perrin, Christian Soize, Sophie Marque-Pucheu, Josselin Garnier
2016	J	`jnl`	Active learning surrogate models for the conception of systems with multiple failure modes. Reliab. Eng. Syst. Saf. Guillaume Perrin
2014	J	`jnl`	A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations. SIAM/ASA J. Uncertain. Quantification Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling
2013	J	`jnl`	Karhunen-Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis. J. Comput. Phys. Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling
2012	J	`jnl`	Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations. SIAM J. Sci. Comput. Guillaume Perrin, Christian Soize, Denis Duhamel, C. Funfschilling
2006	—	`conf`	2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes. ICPR (1) Guillaume Perrin, Xavier Descombes, Josiane Zerubia
2006	—	`—`	Etude du couvert forestier par processus ponctuels marqués. (Tree crown extraction using Marked Point Processes). Guillaume Perrin
2005	—	`conf`	A marked point process model for tree crown extraction in plantations. ICIP (1) Guillaume Perrin, Xavier Descombes, Josiane Zerubia
2005	—	`conf`	Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application. EMMCVPR Guillaume Perrin, Xavier Descombes, Josiane Zerubia
2004	—	`conf`	Tree crown extraction using marked point processes. EUSIPCO Guillaume Perrin, Xavier Descombes, Josiane Zerubia