Guillaume Perrin

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All published works

Action	Title	Year	Authors
+ PDF Chat	Bayesian Calibration in a multi-output transposition context	2024	Gilles Defaux Cédric Durantin Josselin Garnier Baptiste Kerleguer Guillaume Perrin Charlie Sire
+ PDF Chat	Active Learning of Tree Tensor Networks using Optimal Least Squares	2023	Cécile Haberstich Anthony Nouy Guillaume Perrin
+ PDF Chat	A comparison of mixed-variables Bayesian optimization approaches	2022	Jhouben Janyk Cuesta Ramirez Rodolphe Le Riche Olivier Roustant Guillaume Perrin Cédric Durantin Alain Glière
+ PDF Chat	Bootstrapping time correlation functions of molecular dynamics	2021	Nicolas Desbiens Philippe Arnault William Weens Vincent Dubois Guillaume Perrin
+ PDF Chat	A comparison of mixed-variables Bayesian optimization approaches	2021	Jhouben Janyk Cuesta Ramirez Rodolphe Le Riche Olivier Roustant Guillaume Perrin Cédric Durantin Alain Glière
+	Boosted optimal weighted least-squares	2021	Cécile Haberstich Anthony Nouy Guillaume Perrin
+	Bootstrapping time correlation functions of molecular dynamics	2021	Nicolas Desbiens Philippe Arnault W Weens Guillaume Perrin Dubois
+ PDF Chat	On the Quantification of Discretization Uncertainty: Comparison of Two Paradigms	2021	Julien Bect Souleymane Zio Guillaume Perrin Claire Cannamela Emmanuel Vázquez
+	Analyse de sensibilité globale ciblée pour la fiabilité en présence d’incertitudes sur les paramètres de distribution	2021	Vincent Chabridon Mathieu Balesdent Guillaume Perrin Jérôme Morio Jean‐Marc Bourinet Nicolas Gayton
+	A comparison of mixed-variables Bayesian optimization approaches	2021	Jhouben Janyk Cuesta Ramirez Rodolphe Le Riche Olivier Roustant Guillaume Perrin Cédric Durantin Alain Glière
+	Active learning of tree tensor networks using optimal least-squares	2021	Cécile Haberstich Anthony Nouy Guillaume Perrin
+ PDF Chat	Group Kernels for Gaussian Process Metamodels with Categorical Inputs	2020	Olivier Roustant Espéran Padonou Yves Deville Aloïs Clément Guillaume Perrin J. Giorla Henry P. Wynn
+	Boosted optimal weighted least-squares.	2019	Cécile Haberstich Anthony Nouy Guillaume Perrin
+ PDF Chat	Inversion of a costly multivariate function in presence of categorical variables	2019	Jhouben Janyk Cuesta Ramirez Olivier Roustant Rodolphe Le Riche Alain Glière Cédric Durantin Guillaume Perrin
+ PDF Chat	Efficient sequential experimental design for surrogate modeling of nested codes	2018	Sophie Marque-Pucheu Guillaume Perrin Josselin Garnier
+	Principal component analysis and optimal weighted least-squares method for training tree tensor networks	2018	Cécile Haberstich Anthony Nouy Guillaume Perrin
+	Bayesian calibration of high-speed train suspensions parameters using Kriging metamodeling	2018	David Lebel Christian Soize Christine Fünfschilling Guillaume Perrin
+	Group kernels for Gaussian process metamodels with categorical inputs	2018	Olivier Roustant Espéran Padonou Yves Deville Aloïs Clément Guillaume Perrin J. Giorla Henry P. Wynn
+ PDF Chat	Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints	2017	Guillaume Perrin Christian Soize Noura Ouhbi
+	Efficient sequential experimental design for surrogate modeling of nested codes	2017	Sophie Marque-Pucheu Guillaume Perrin Josselin Garnier
+ PDF Chat	Tree crown extraction using Marked Point Processes	2006	Guillaume Perrin Xavier Descombes Josiane Zerubia
+	A Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes	2006	Guillaume Perrin Xavier Descombes Josiane Zerubia
+	Optimization Techniques for Energy Minimization Problem in a Marked Point Process Application to Forestry	2006	Guillaume Perrin Xavier Descombes Josiane Zerubia
+	Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application	2005	Guillaume Perrin Xavier Descombes Josiane Zerubia

Common Coauthors

Coauthor	Papers Together
Olivier Roustant	6
Cécile Haberstich	5
Jhouben Janyk Cuesta Ramirez	4
Xavier Descombes	4
Alain Glière	4
Rodolphe Le Riche	4
Cédric Durantin	4
Josiane Zerubia	4
Anthony Nouy	3
Yves Deville	2
Anthony Nouy	2
Nicolas Desbiens	2
Espéran Padonou	2
Josselin Garnier	2
Christian Soize	2
Aloïs Clément	2
Henry P. Wynn	2
Philippe Arnault	2
J. Giorla	2
Sophie Marque-Pucheu	2
Jean‐Marc Bourinet	1
Gilles Defaux	1
Julien Bect	1
Vincent Dubois	1
Mathieu Balesdent	1
Dubois	1
Nicolas Gayton	1
Christine Fünfschilling	1
Baptiste Kerleguer	1
Cédric Durantin	1
Jérôme Morio	1
Vincent Chabridon	1
W Weens	1
Souleymane Zio	1
Charlie Sire	1
Noura Ouhbi	1
William Weens	1
David Lebel	1
Claire Cannamela	1
Emmanuel Vázquez	1
Josselin Garnier	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	3
+ PDF Chat	On the Stability and Accuracy of Least Squares Approximations	2013	Albert Cohen Mark A. Davenport D. Leviatan	2
+	Bootstrap Methods: A Guide for Practitioners and Researchers	2007	Michael R. Chernick	2
+ PDF Chat	Bayesian Optimization in a Billion Dimensions via Random Embeddings	2016	Ziyu Wang Frank Hutter Masrour Zoghi David S. Matheson Nando De Feitas	2
+	Simulated annealing and object point processes: Tools for analysis of spatial patterns	2005	Radu S. Stoica Pablo Gregori Jorge Mateu	2
+ PDF Chat	Computing Multivariate Fekete and Leja Points by Numerical Linear Algebra	2010	Len Bos Stefano De Marchı Alvise Sommariva Michelangelo Vianello	2
+ PDF Chat	Some Modified Matrix Eigenvalue Problems	1973	Gene H. Golub	2
+	Image Analysis, Random Fields and Markov Chain Monte Carlo Methods	2003	Gerhard Winkler	2
+ PDF Chat	Optimal weighted least-squares methods	2017	Albert Cohen Giovanni Migliorati	2
+ PDF Chat	Revisiting Bayesian optimization in the light of the COCO benchmark	2021	Rodolphe Le Riche Victor Picheny	2
+	Computing approximate Fekete points by QR factorizations of Vandermonde matrices	2009	Alvise Sommariva Marco Vianello	2
+	Lagrange Multipliers and Optimality	1993	R. T. Rockafellar	2
+	Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points	2015	Giovanni Migliorati Fabio Nobile Raúl Tempone	2
+ PDF Chat	Refined Perturbation Bounds for Eigenvalues of Hermitian and Non-Hermitian Matrices	2009	Ilse C. F. Ipsen Boaz Nadler	2
+	Stochastic annealing for nearest-neighbour point processes with application to object recognition	1994	M. N. M. van Lieshout	2
+	Image segmentation by data-driven markov chain monte carlo	2002	Zhuowen Tu Song-Chun Zhu	2
+	Mixed-integer nonlinear optimization	2013	Pietro Belotti Christian Kirches Sven Leyffer Jeff Linderoth James Luedtke Ashutosh Mahajan	2
+	Metropolis-Type Annealing Algorithms for Global Optimization in $\mathbb{R}^d $	1993	S.B. Gelfand Sanjoy K. Mitter	2
+	A Direct Search Optimization Method That Models the Objective and Constraint Functions by Linear Interpolation	1994	M. J. D. Powell	2
+ PDF Chat	Efficient global optimization of constrained mixed variable problems	2018	Julien Pelamatti Loïc Brevault Mathieu Balesdent El‐Ghazali Talbi Yannick Guérin	2
+ PDF Chat	A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors	2019	Yichi Zhang Siyu Tao Wei Chen Daniel W. Apley	2
+ PDF Chat	Group Kernels for Gaussian Process Metamodels with Categorical Inputs	2020	Olivier Roustant Espéran Padonou Yves Deville Aloïs Clément Guillaume Perrin J. Giorla Henry P. Wynn	2
+	Multiplier and gradient methods	1969	Magnus R. Hestenes	2
+ PDF Chat	Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression	2015	Jerrad Hampton Alireza Doostan	2
+	A Reversible Jump MCMC Sampler for Object Detection in Image Processing	2006	Mathias Ortner Xavier Descombes Josiane Zerubia	2
+	A Christoffel function weighted least squares algorithm for collocation approximations	2016	Akil Narayan John Jakeman Tao Tang	2
+	Simulated Annealing Algorithms for Continuous Global Optimization: Convergence Conditions	2000	Marco Locatelli	2
+ PDF Chat	Pattern Search Algorithms for Mixed Variable Programming	2001	Charles Audet J. E. Dennis	2
+	Convergence of simulated annealing using Foster-Lyapunov criteria	2001	Christophe Andrieu L.A. Breyer Arnaud Doucet	2
+	Analysis of finite length annealing schedules	1991	Philip N. Strenski Scott Kirkpatrick	2
+ PDF Chat	Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation	2018	Ling Guo Akil Narayan Liang Yan Tao Tang	2
+	Bayesian object recognition with baddeley's delta loss	1998	Håvard Rue Anne Randi Syversveen	2
+ PDF Chat	Adaptive Approximation by Optimal Weighted Least-Squares Methods	2019	Giovanni Migliorati	2
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	2
+	Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems	2014	Daniel Kreßner Michael Steinlechner André Uschmajew	1
+ PDF Chat	Asymptotic Optimality of Likelihood-Based Cross-Validation	2004	Mark J. van der Laan Sandrine Dudoit Sündüz Keleş	1
+ PDF Chat	Gaussian Process Single-Index Models as Emulators for Computer Experiments	2012	Robert B. Gramacy Heng Lian	1
+	Bayes estimates in one-way and two-way models	1973	A. F. M. Smith	1
+	Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps	2005	Ronald R. Coifman Stéphane Lafon A. B. Lee Mauro Maggioni Boaz Nadler Frederick Warner Steven W. Zucker	1
+	TT-cross approximation for multidimensional arrays	2009	Ivan Oseledets Eugene E. Tyrtyshnikov	1
+ PDF Chat	Critical Dynamics in a Binary Fluid: Simulations and Finite-Size Scaling	2006	Subir K. Das Michael E. Fisher J. V. Sengers Jürgen Horbach Kurt Binder	1
+ PDF Chat	Approximate inference of the bandwidth in multivariate kernel density estimation	2011	Maurizio Filippone Guido Sanguinetti	1
+ PDF Chat	The Use of Subseries Values for Estimating the Variance of a General Statistic from a Stationary Sequence	1986	Edward Carlstein	1
+	Unconstrained parametrizations for variance-covariance matrices	1996	Jos� C. Pinheiro Douglas M. Bates	1
+	Black box approximation of tensors in hierarchical Tucker format	2011	Jonas Ballani Lars Grasedyck Melanie Kluge	1
+	Parameterizing correlations: a geometric interpretation	2006	Francesco Rapisarda Damiano Brigo Fabio Mercurio	1
+	Operator-splitting integrators for constant-temperature molecular dynamics	1997	Fei Zhang	1
+	Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation	2014	Nabil Zougab Smaïl Adjabi Célestin C. Kokonendji	1
+	Lower bounds for the largest eigenvalue of a symmetric matrix under perturbations of rank one	2011	Jacques Bénasséni	1
+ PDF Chat	Bayesian Analysis of Hierarchical Multifidelity Codes	2013	Loïc Le Gratiet	1