Publications du thème Métamodélisation, Optimisation Continue et Applications (MOCA)

issues de la collection LIMOS de HAL
289 documents
Pour toutes les publis du LIMOS, cliquez ici


Date publi
Type
Co-auteurs
Titre
journal ou conférence
Domaines
2026
UNDEFINED
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, David Gaudrie, Xavier Bay, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application to the prediction of perfect flows
Informatique/Analyse numérique
2026
ART
Anthony Bertrand, Engelbert Mephu Nguifo, Violaine Antoine, David Hill
A K-Means, Ward and DBSCAN Repeatability Study
Cloud Computing and Data Science - 2026
Informatique/Intelligence artificielle
2026
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Truncated multivariate normal distribution under linear and nonlinear constraints
Technometrics - 2026
Statistiques
2026
UNDEFINED
Razak Christophe Sabi Gninkou, Andrés F. López-Lopera, Franck Massa, Rodolphe Le Riche
Scalable multitask Gaussian processes for complex mechanical systems with functional covariates
Statistiques
2026
COMM
Rodolphe Le Riche
Including domain knowledge in Bayesian Optimization
Dagstuhl Seminar 26072: Best Practice for Leveraging Domain Knowledge in Real-World Optimization - 2026
Informatique/Apprentissage
2026
UNDEFINED
David R.C. Hill, Benjamin A. Antunes
Applications and limits of the Grover Quantum Algorithm
Informatique/Intelligence artificielle
2026
UNDEFINED
Rui Ma, Renaud Chicoisne, Pierre Latouche
On partial convexification cuts for mixed-integer quadratic programs with 0-1 indicators
Maths
2025
UNDEFINED
Noé Lebreton, Julien Ah-Pine, Julien Jacques, Matthieu Neveu
Pattern matching for multivariate time series forecasting
Statistiques
2025
UNDEFINED
Charlie Sire, Didier Rullière, Rodolphe Le Riche, Jérémy Rohmer, Yann Richet, Lucie Pheulpin
Augmented Quantization: Mixture Models for Risk-Oriented Sensitivity Analysis
Statistiques
2025
COMM
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows
PGMO (Programme Gaspard Monge pour l'Optimisation) DAYS 2025 - 2025
Informatique/Modélisation et simulation
2025
COMM
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application in fluid dynamics
Journées Scientifiques du consortium CIROQUO - 2025
Informatique/Modélisation et simulation
2025
COMM
Julien Ah-Pine, Nathaniel Gbenro
Mixed data k -Anonymization by Consistent Maximal Association and Microaggregation
CIKM '25: The 34th ACM International Conference on Information and Knowledge Management - 2025
Statistiques
2025
ART
Didier Rullière, Marc Grossouvre
A Joint Kriging Model with Application to Constrained Classification
Statistics and Computing - 2025
Statistiques
2025
POSTER
Didier Rullière, Rodolphe Le Riche, Xavier Bay, Soumyodeep Mukhopadhyay, Victor Trappler, Hassan Maatouk, Tanguy Appriou, Laurent Genest, David Gaudrie, Marc Grossouvre, Christophette Blanchet-Scalliet, Céline Helbert, Sébastien da Veiga, Julien Pelamatti, Reda El Amri, Youssef Diouane, Victor Picheny, Alexandre Scotto Di Perrotolo
Gaussian Processes: from knowledge-informed Machine Learning to optimization
Informatique/Apprentissage
2025
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient constrained Gaussian process approximation using elliptical slice sampling
Bayesian Analysis - 2025
Statistiques
2025
COMM
Zaar Khizar, Johann Laconte, Roland Lenain, Romuald Aufrère
Feeling the force: A nuanced physics-based traversability sensor for navigation in unstructured vegetation
European Conference on Mobile Robots - 2025
Informatique/Robotique
2025
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian analysis of constrained Gaussian processes
Bayesian Analysis - 2025
Statistiques
2025
COMM
Anthony Quintin, Cécile Mattrand, Rudy Chocat, Tom Petit, Jean-Marc Bourinet
Plans d'expériences optimaux d'essais de ténacité
26e Congrès Français de Mécanique - 2025
Informatique/Modélisation et simulation
2025
POSTER
Soumyodeep Mukhopadhyay, Rodolphe Le Riche, Xavier Bay, Didier Rullière, Laurent Genest, David Gaudrie
Multi-output Gaussian Process Regression: from shape parameters to vector-valued fluid flow
Informatique/Modélisation et simulation
2025
COMM
David R.C. Hill
Digital Transition and Artificial Intelligence for Good: Towards Ethical and Sustainable Energy Consumption?
2025 International Electronics Symposium (IEEE) - 2025
2025
POSTER
Mohamed Gharafi, Nikolaus Hansen, Rodolphe Le Riche, Dimo Brockhoff
Rank-based Linear-Quadratic Surrogate Assisted CMA-ES
Informatique/Apprentissage
2025
POSTER
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Kriging under differential information: application to prediction of perfect flows
Informatique/Modélisation et simulation
2025
COMM
Armel Soubeiga, Thomas Guyet, Violaine Antoine
Soft-ECM: An extension of Evidential C-Means for complex data
FUZZ-IEEE 2025 - International Conference on Fuzzy Systems - 2025
Informatique/Mathématique discrète
2025
POSTER
H. Maatouk, Didier Rullière, Xavier Bay
Bayesian Linear Models for Large Datasets
Statistiques
2025
ART
Benjamin A. Antunes, David R.C. Hill
Performance and Reproducibility Assessment of Quantum Dissipative Dynamics Framework: A Comparative Study of Fortran Compilers, MKL, and FFTW
Cloud Computing and Data Science - 2025
2025
COMM
Guillaume Perrin, Rodolphe Le Riche
Bayesian optimization with derivatives acceleration
Journée Parcimonie, Optimisation et Problèmes Inverses Lyon Saint-Etienne Savoie (POPILSS 2025) - 2025
Informatique/Recherche opérationnelle
2025
UNDEFINED
Nicolas Rojas Varela, Julien Ah-Pine, Engelbert Mephu Nguifo
OnlineBootKNN: A Novel Algorithm for Detecting Anomalies in Spectral Data Streams
2025
UNDEFINED
Hassan Maatouk, Didier Rullière, Xavier Bay
Adaptive finite-dimensional approximation of constrained Gaussian processes for large datasets
Statistiques
2025
COMM
Kevin Taurines, Rodolphe Le Riche, Boris Brangeon, Maxime Doya
Multiobjective Optimization With Uncertainties and Discrete Meta-Variables : The Case Of Building Energy Refurbishment
Math to Product (M2P) - 2025
Informatique/Modélisation et simulation
2025
THESE
Francesco Cancelliere
Grey-box health management of lithium-ion batteries using electrochemical modeling and surrogate-based particle filters
Informatique/Modélisation et simulation
2025
COMM
Anis Fradi, Chak Samir, Achref Ouni
Audio Signal Denoising with Reduced Gaussian Distributions
56ièmes Journées de Statistique de la SFdS - 2025
Statistiques
2025
POSTER
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Collocation-based kriging with applications to the prediction of perfect flows
Informatique/Modélisation et simulation
2025
COUV
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient Bayesian Linear Models for a Large Number of Observations
Statistiques
2025
UNDEFINED
Armel Soubeiga, Violaine Antoine, Sylvain Moreno
Comparative analysis of multidimensional sequential trajectories clustering methods
Informatique/Apprentissage
2025
THESE
Armel Soubeiga
Evidential clustering for trajectory analysis
Informatique/Intelligence artificielle
2025
ART
Anis Fradi, Tien-Tam Tran, Chafik Samir
Decomposed Gaussian Processes for Efficient Regression Models with Low Complexity
Entropy - 2025
Maths
2025
COMM
Didier Rullière, Marc Grossouvre
Some considerations on Kriging, Constraints and Classification
Journées de statistique et optimisation en Occitanie (JS2O) - 2025
Statistiques
2025
ART
Hestiasari Rante, Kirana Hanifati, Youcef Mezouar, David R.C. Hill
Integration of MQTT and Augmented Reality using Dobot Magician Lite Robot
JOIV : International Journal on Informatics Visualization - 2025
2025
THESE
Tanguy Appriou
Design optimization for high-dimensional problems
Statistiques
2025
COMM
Achref Ouni, Chafik Samir, Yousef Bouaziz, Anis Fradi
ConvKAN: Towards Robust, High-Performance and Interpretable Image Classification
20th International Conference on Computer Vision Theory and Applications - 2025
2025
ART
Maxime Chareyre, Pierre Fournier, Julien Moras, Jean-Marc Bourinet, Youcef Mezouar
Unsupervised Discovery of Objects Physical Properties Through Maximum Entropy Reinforcement Learning
IEEE Robotics and Automation Letters - 2025
Physique
2025
ART
Anthony Quintin, Tom Petit, Rudy Chocat, Cécile Mattrand, Jean-Marc Bourinet
Uncertainty quantification of the reference temperature T0 of 16MND5 steel from experimental and numerical fracture toughness tests
Engineering Fracture Mechanics - 2025
Sciences de l'ingenieur
2025
ART
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark
Computer Methods in Applied Mechanics and Engineering - 2025
Maths
2025
UNDEFINED
Renaud Chicoisne, Pierre Latouche, Rui Ma
On Strenghtenings for the Feature Selection Problem
Maths
2025
COMM
Armel Soubeiga, Thomas Guyet, Violaine Antoine
Soft-ECM : une extension de l'algorithme Evidentiel C-Means pour des données complexes
Extraction et Gestion des Connaissances, EGC'2025 - 2025
Informatique/Mathématique discrète
2025
COUV
Mourad Baïou, David R.C. Hill
Évolution des méthodes de calcul en théorie des jeux
2025
UNDEFINED
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian linear models for large datasets: Markov chain Monte Carlo or Matheron's update rule
Statistiques
2025
ART
Roxane Jouseau, Sébastien Salva, C. Samir
A New Metric for Measuring the Intrinsic Quality in Data Collected for Quantitative Classification
Lecture Notes in Artificial Intelligence - 2025
2025
OUV
Benjamin A. Antunes, David R.C. Hill
Recherche Reproductible
2025
ART
Armel Soubeiga, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno, Issam Falih, Jules Phalip
Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means
Expert Systems with Applications - 2025
Informatique/Intelligence artificielle
2025
ART
Anis Hoayek, Didier Rullière
Assessing clustering methods using Shannon's entropy
Information Sciences - 2025
Sciences de l'homme et de la societe
2025
ART
Zhiqiang Wang, Kenneth Ezukwoke, Anis Hoayek, Mireille Batton-Hubert, Xavier Boucher
Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry
Journal of Intelligent Manufacturing - 2025
Maths
2025
ART
Benoît Albert, Violaine Antoine, Jonas Koko
ECM+: An improved evidential c-means with adaptive distance
Fuzzy Sets and Systems - 2025
Informatique/Intelligence artificielle
2025
ART
Tien Tam Tran, Ines Adouani, Chafik Samir
Computing regularized splines in the Riemannian manifold of probability measures
ESAIM: Mathematical Modelling and Numerical Analysis - 2025
Maths
2025
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Large-scale constrained Gaussian processes for shape-restricted function estimation
Statistics and Computing - 2025
Statistiques
2025
UNDEFINED
Victor Trappler, Céline Helbert, Rodolphe Le Riche
Multiobjective Optimization under Uncertainties using Conditional Pareto Fronts
Maths
2024
COMM
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Optimization and metamodeling of functions defined over clouds of points
workshop SAMOURAI - 2024
Informatique/Recherche opérationnelle
2024
COMM
Victor Trappler, Céline Helbert, Christophette Blanchet-Scalliet, Rodolphe Le Riche
Multiobjective Bayesian Optimization under uncertainties
Rencontres annuelles 2024 du réseau Mexico - 2024
Statistiques
2024
ART
Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Matteo Broggi
Prognostic of lithium-ion batteries using a combination of physical modeling and hybrid multi-layer perceptron particle filter
Energy Reports - 2024
Statistiques
2024
THESE
Babacar Sow
Optimizing and metamodeling functions defined over clouds of points
2024
ART
Benjamin A. Antunes, David Hill
Random Numbers for Machine Learning
Journal of Data Science and Intelligent Systems - 2024
Informatique/Intelligence artificielle
2024
COMM
Alexis Chartrain, Gilles Dessagne, Noël Haddad, David R.C. Hill
Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure
16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K '24) - Special Session on Ontologies for Digital Twin (DTO '24) - 2024
Sciences de l'ingenieur
2024
THESE
Benjamin Antunes
Calcul à hautes performances : Reproductibilité et répétabilité des résultats numériques et des mesures de performances
2024
THESE
Benjamin Antunes
Calcul à haute performance : reproductibilité et répétabilité des résultats numériques et des mesures de performances
Informatique/Apprentissage
2024
COMM
Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Piero Baraldi, Enrico Zio
Mean Variance Estimation Neural Network Particle Filter for Predicting Battery Remaining Useful Life
16 th Annual Conference of the Prognostics and Health Management Society - 2024
Statistiques
2024
COMM
Armel Soubeiga, Violaine Antoine, Sylvain Moreno
Clustering multi-relationnel flou des trajectoires de la douleur chronique
33èmes Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2024) - 2024
Statistiques
2024
ART
Charles Surget, Sylvain Dubreuil, Jérôme Morio, Cécile Mattrand, Jean-Marc Bourinet, Nicolas Gayton
A sensitivity analysis based trade-off between probabilistic model identification and statistical estimation
Reliability Engineering and System Safety - 2024
Physique
2024
COMM
David Hill, Benjamin A. Antunes, Anthony Bertrand, Engelbert Mephu Nguifo, Loïc Yon, Jeanne Nautré-Domanski, Violaine Antoine
Machine learning and reproducibility impact of random numbers
38th European Simulation and Modelling Conference (ESM) - 2024
2024
ART
Rui Shibasaki, Mourad Baïou, Francisco Barahona, Philippe Mahey, Maurício de Souza
Volume-Based Branch-and-Cut Algorithm for Large-Scale Fixed-Charge Multicommodity Network Design
Annals of Operations Research - 2024
Informatique/Recherche opérationnelle
2024
OTHER
Marc Grossouvre
Évaluation de la performance énergétique du parc bâti à fine échelle dans une optique de massification des travaux et d’atteinte des objectifs nationaux
Sciences de l'environnement
2024
THESE
Marc Grossouvre
Assessing the energy performance of the building stock at a fine scale so as to scale up renovation works and reach national targets
Statistiques
2024
ART
R. Agroum, J. Djoko, Jonas Koko, T. Sayah
Stokes flow with Tresca boundary condition: a posteriori error analysis
Calcolo - 2024
Maths
2024
COMM
Armel Soubeiga, Violaine Antoine, Sylvain Moreno
Multi-View Relational Evidential C-Medoid Clustering with Adaptive Weighted
2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA) - 2024
Informatique/Intelligence artificielle
2024
ART
Panagiotis Gavallas, George Stefanou, Dimitrios Savvas, Cécile Mattrand, Jean-Marc Bourinet
CNN-based prediction of microstructure-derived random property fields of composite materials
Computer Methods in Applied Mechanics and Engineering - 2024
Maths
2024
UNDEFINED
Benjamin A. Antunes, Claude Mazel, David R.C. Hill
Performance and reproducibility assessment of quantum dissipative dynamics framework: a comparative study of Fortran compilers, MKL, and FFTW
Informatique/Calcul parallèle, distribué et partagé
2024
COMM
Noé Lebreton, Julien Jacques, Julien Ah-Pine, Matthieu Neveu
Pattern matching for multivariate time series forecasting
ENBIS-24 Conference - 2024
Statistiques
2024
PROCEEDINGS
Hestiasari Rante, Moh. Zikky, Muhammad Fauzan Arief, Iwan Syarif, Dwi Susanto, Zakha Maisat Eka Darmawan, Youcef Mezouar, David Hill
Interactive Augmented Reality Simulation to Stimulate Children in Learning Robotics Arm Behaviour
Sciences de l'ingenieur
2024
COMM
Anis Fradi, Chafik Samir
A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data
ECML PKDD - 2024
Statistiques
2024
ART
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Wasserstein-Based Evolutionary Operators for Optimizing Sets of Points: Application to Wind-Farm Layout Design
Applied Sciences - 2024
Sciences de l'environnement
2024
COMM
Shidi Deng, Benoit Albert, Violaine Antoine, Jonas Koko
A Specialized Xie-Beni Measure for Clustering with Adaptive Distance
EUSFLAT - 2024
Informatique/Intelligence artificielle
2024
ART
Olivier Boissier, Sandrine Berger-Douce, Rodolphe Le Riche, Florent Breuil
L'Institut Henri Fayol
MINES, La Revue des Ingénieurs, Paris - Saint-Etienne - Nancy - 2024
Informatique/Modélisation et simulation
2024
ART
Tanguy Appriou, Didier Rullière, David Gaudrie
Combination of Optimization-free Kriging Models for High-Dimensional Problems
Computational Statistics - 2024
Statistiques
2024
ART
Guillaume Perrin, Rodolphe Le Riche
Bayesian optimization with derivatives acceleration
Transactions on Machine Learning Research Journal - 2024
Informatique/Recherche opérationnelle
2024
ART
Benjamin A. Antunes, David R.C. Hill
Reproducibility, Replicability, and Repeatability: A survey of reproducible research with a focus on high performance computing
Computer Science Review - 2024
Informatique/Génie logiciel
2024
COMM
van Tri Do, Violaine Antoine, Jonas Koko
WECM: An Evidential Subspace Clustering Algorithm
IPMU - 2024
Informatique/Intelligence artificielle
2024
OUV
Benjamin A. Antunes, David R.C. Hill
Recherche Reproductible : Comment les outils informatiques et le calcul scientifique impactent bien des disciplines
2024
PROCEEDINGS
Hassan Maatouk, Didier Rullière, Xavier Bay
Large scale Gaussian processes with Matheron's update rule and Karhunen-Loève expansion
Statistiques
2024
ART
Anis Fradi, Chafik Samir, Ines Adouani
A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $\mathbb {R}^{3}$
Journal of Optimization Theory and Applications - 2024
Statistiques
2024
HDR
Julien Ah-Pine
Contributions en science des données. Fusion d'informations, fonctions d'agrégation, mesures en clustering, variétés non linéaires et données fonctionnelles
Statistiques
2024
COMM
Guillaume Perrin, Rodolphe Le Riche
Bayesian optimization with derivatives acceleration
Workshop on Bayesian optimization & related topics - 2024
Informatique/Recherche opérationnelle
2024
COMM
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Optimization of functions defined over sets of points in polygons with evolutionary algorithms based on Wasserstein barycenters
FGS Conference on Optimization 2024 : French German Spanish conference on optimization - 2024
Maths
2024
ART
Dania Ati, Rahma Agroum, Jonas Koko
A Priori Error Analysis and Finite Element Approximations for a Coupled Model Under Nonlinear Slip Boundary Conditions
Journal of Mathematical Fluid Mechanics - 2024
Maths
2024
COMM
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
Uncertainty quantification oriented active learning for surrogates of simulators with functional outputs
9th european congress on computational methods in applied sciences and engineering (ECCOMAS 2024) - 2024
Statistiques
2024
COMM
Francesco Canceliere, Sylvain Girard, Jean-Marc Bourinet
Data-Driven Prognostics with Multi-Layer Perceptron Particle Filter: a Cross-Industry Exploration
8 th European Conference of the PHM Society (PHME24) - 2024
Statistiques
2024
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Sampling large hyperplane-truncated multivariate normal distributions
Computational Statistics - 2024
Statistiques
2024
COMM
Amal Omrani, Anis Fradi, Chafik Samir
Reduced run-time and memory complexity regression with a Gaussian process prior
JDS - 2024
Statistiques
2024
COMM
Alexis Chartrain, Gilles Dessagne, Noël Haddad, David R.C. Hill
Retrospective on the Digital Twin concept and perspectives for railways: the case of SNCF Réseau
2ème Congrès Annuel de la SAGIP (SAGIP '24) - 2024
Sciences de l'ingenieur
2024
COMM
Tanguy Appriou
Talk on Bayesian Optimization for High-Dimensional Problems
Journées CIROQUO mai 2024 - 2024
Statistiques
2024
COMM
Sami Ben Elhaj Salah, Rodolphe Le Riche, Julien Bruchon, Nicolas Moulin
Génération de champs aléatoires de perméabilité pour les composites par méthodes à noyaux
16ème Colloque National en Calcul de Structures (CSMA 2024) - 2024
Sciences de l'ingenieur
2024
ART
Marc Grossouvre, Didier Rullière, Jonathan Villot
Predicting missing Energy Performance Certificates: Spatial interpolation of mixture distributions
Energy and IA - 2024
Maths
2024
COMM
Thabang Doreen Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet, François Deheeger
Unsupervised Representation Learning for Smart Transportation
22nd International Symposium on Intelligent Data Analysis (IDA 2024) - 2024
Informatique/Apprentissage
2024
COMM
Moussa Issa, Alexis Chartrain, Flavien Viguier, Bruno Landes, Gilles Dessagne, Noël Haddad, David R.C. Hill
Railway system Digital Twin: a tool for extended enterprises to perform multimodal transportation in a decarbonization context
Transport Research Arena 2024 (TRA '24) - 2024
Sciences de l'ingenieur
2024
POSTER
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Clouds of points optimization in convex polygons with evolutionary algorithms based on Wasserstein barycenters
Statistiques
2024
COMM
Tanguy Appriou
Talk on High-Dimensional Bayesian Optimization with a Combination of Kriging Models
Conférence MASCOT-NUM 2024 - 2024
Statistiques
2024
ART
Marc Grossouvre, Didier Rullière, Jonathan Villot
Enhancing buildings' energy efficiency prediction through advanced data fusion and fuzzy classification
Energy and Buildings - 2024
Sciences de l'homme et de la societe
2024
COMM
Alexis Chartrain, Gilles Dessagne, Noël Haddad, David R.C. Hill
Vers une simulation globale du système ferroviaire : atout pour l'aide à la décision guidée par l'analyse de risques
25ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF '24) - 2024
Sciences de l'ingenieur
2024
COMM
Benjamin A. Antunes, Claude Mazel, Philippe Lacomme, David R.C. Hill
Test de reproductibilité de l'algorithme de Grover sur simulateur et sur machines quantiques IBM
Roadef 2024 - 2024
2024
COMM
David Gaudrie, Rodolphe Le Riche, Tanguy Appriou
An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
SIAM Conference on Uncertainty Quantification (UQ24) - 2024
Informatique/Intelligence artificielle
2024
COMM
Céline Helbert, Reda El Amri, Rodolphe Le Riche, Christophette Blanchet-Scalliet, Sébastien da Veiga
EFISUR A sampling criterion for constrained bayesian optimization with uncertainties
SIAM UQ - 2024
Maths
2024
COMM
Tanguy Appriou
Talk on: Combination of Gaussian Process Models for High-Dimensional Bayesian Optimization
SIAM UQ 24 - 2024
Statistiques
2024
COMM
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Augmented Quantization: a General Approach to Mixture Models
UQ 2024 - SIAM Conference on Uncertainty Quantification - 2024
Statistiques
2024
COMM
Jouseau Roxane, Sébastien Salva, C. Samir
A Novel Metric for Measuring Data Quality in Classification Applications
16th International Conference on Agents and Artificial Intelligence - 2024
Informatique/Apprentissage
2024
ART
Radek Kučera, Vladimír Arzt, Jonas Koko
MINI Element for the Navier–Stokes System in 3D: Vectorized Codes and Superconvergence
Informatica - 2024
Maths
2024
ART
Djoko Kamdem Jules, Gidey Hagos, Sayah Toni, Jonas Koko
Discontinuous Galerkin methods for Stokes equations under power law slip boundary condition: a priori analysis
Calcolo - 2024
Maths
2024
ART
Tanguy Appriou, Didier Rullière, David Gaudrie
High-dimensional Bayesian Optimization with a Combination of Kriging models
Structural and Multidisciplinary Optimization - 2024
Statistiques
2024
ART
Dania Ati, Rahma Agroum, Jonas Koko
A coupled model of the fluid flow with nonlinear slip Tresca boundary condition
Computers & Mathematics with Applications - 2024
Maths
2024
ART
Julien Ah-Pine, Anne-Françoise Yao
On using derivatives and multiple kernel methods for clustering and classifying functional data
Neurocomputing - 2024
Statistiques
2024
REPORT
Christophette Blanchet-Scalliet, Céline Helbert, Delphine Sinoquet, Miguel Munoz Munoz Zuniga, Rodolphe Le Riche, Didier Rullière, Clémentine Prieur, Olivier Zahm, Josselin Garnier, Dimo Brockhoff, Olivier Roustant, François Bachoc, Luc Pronzato, Yann Richet, Jérémy Rohmer, Frédéric Huguet, David Gaudrie, Amandine Marrel, Baptiste Kerleguer, Thomas Perrillat-Bottonet, Cedric Durantin
Activity report ciroquo research & industry consortium
Maths
2024
ART
Laurence Grammont, Hassan Maatouk, Xavier Bay
Equivalent between constrained optimal smoothing and Bayesian estimation
Journal of Nonparametric Statistics - 2024
Informatique/Analyse numérique
2023
ART
Benjamin A. Antunes, David Hill
Evaluating Simultaneous Multi-threading and Affinity Performance for Reproducible Parallel Stochastic Simulation
Research Reports on Computer Science - 2023
Informatique/Calcul parallèle, distribué et partagé
2023
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases
Machine Learning, Optimization and Manifolds (MLOMA) - 2023
Statistiques
2023
COMM
Benjamin A. Antunes, Claude Mazel, David R.C. Hill
Identifying Quality Mersenne Twister Streams For Parallel Stochastic Simulations
Winter Simulation Conference 2023 - 2023
Informatique/Calcul parallèle, distribué et partagé
2023
PROCEEDINGS
Anis Fradi, Chafik Samir, José Braga
A Shrinkage Method for Learning, Registering and Clustering Shapes of Curves
Statistiques
2023
ART
Renaud Chicoisne, Fernando Ordóñez
Algorithms for a Risk-Averse Stackelberg Game with Multiple Adversaries
Computers and Operations Research - 2023
Informatique/Recherche opérationnelle
2023
ART
Marc Grossouvre, Didier Rullière, Jonathan Villot
Mixture kriging for granular data: The case of energy performance certificate prediction
Science Talks - 2023
Sciences de l'environnement
2023
ART
Reda El Amri, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet, Sébastien da Veiga
A sampling criterion for constrained Bayesian optimization with uncertainties
SMAI Journal of Computational Mathematics - 2023
Informatique/Intelligence artificielle
2023
ART
Cyrille Mascart, David Hill, Alexandre Muzy, Patricia Reynaud-Bouret
Efficient Simulation of Sparse Graphs of Point Processes
ACM Transactions on Modeling and Computer Simulation - 2023
Statistiques
2023
COMM
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points
PGMO DAYS 2023 - 2023
Maths
2023
COMM
Anis Fradi, Chafik Samir, José Braga
Learning and inferring on Cochlear Shapes of Juvenile and Adult Fossil Hominins
International conference on artificIAl Intelligence and applied MAthematics for History and Archaeology - 2023
Statistiques
2023
THESE
Charlie Sire
Robust inversion under uncertainty for risk analysis – application to the failure of defences against flooding
Maths
2023
COMM
Etienne Jules, Francesco Cancelliere, Cécile Mattrand, Jean-Marc Bourinet
Remaining Useful Life Prediction of Turbofans with Virtual Health Indicator: A Comparison of Particle Filter-Based Approaches
2023 7th International Conference on System Reliability and Safety (ICSRS) - 2023
Sciences de l'ingenieur
2023
THESE
Clément Laboulfie
Characterization of the impact of material variability on the parameters of composite behavior laws
Physique
2023
PROCEEDINGS
Anis Fradi, Chafik Samir
Learning and Regression on the Grassmannian
Statistiques
2023
COMM
Valentin Guien, Violaine Antoine, Romain Lardy, Italo da Rocha Moreira, Luis Enrique Correa Rocha, Isabelle Veissier
Simulation de comportement d'une vache à l'aide d'un processus markovien
32èmes Rencontres Francophones sur la Logique Floue et ses Applications - 2023
Informatique/Modélisation et simulation
2023
POSTER
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
A review of multi-fidelity surrogate models for high dimensional field outputs
Informatique/Modélisation et simulation
2023
COMM
Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet, Matteo Broggi
Grey-box Approach for the Prognostic and Health Management of Lithium-Ion Batteries
Annual Conference of the PHM Society 2023 - 2023
Statistiques
2023
REPORT
Dimitri Peaucelle, Damien Trentesaux, Gülgün Alpan, Romain Postoyan, Jean Auriol, Christophe Bérenguer, Eric Bonjour, Olivier Cardin, Vincent Cheutet, William Derigent, Valérie dos Santos Martins, Sylvain Durand, Paolo Frasca, Laurent Geneste, Marion Gilson, Virginie Goepp, Mamadou Kaba Traoré, Jimmy Lauber, Michaël Di Loreto, Guillaume Mercère, Sylvie Norre, Elena Panteley, François Pérès, Petreczky Mihaly, Franck Plestan, Nacim Ramdani, Evren Sahin, Reine Talj, Louise Travé-Massuyès
Groupement de Recherche MACS - Bilan 2019-2023 et Projet 2024-2028
Informatique/Automatique
2023
COMM
Didier Rullière, Marc Grossouvre
On Multi-Output Kriging and Constrained Classification
Séminaire Statistique LMA - 2023
Statistiques
2023
ART
J K Djoko, Jonas Koko, B. Daya Reddy
A family of predictor-corrector schemes for a class of variational inequalities
Nonlinear Analysis: Real World Applications - 2023
Maths
2023
COMM
Victor Charpenay, Rodolphe Le Riche
How Many Dimensions for your Latent Model? A Cross-Domain Perspective
Data&IA@IMT webinar - 2023
Informatique/Apprentissage
2023
COMM
Anis Fradi, Chafik Samir
A New Framework for Classifying Probability Density Functions
ECML - 2023
Statistiques
2023
PROCEEDINGS
Anis Fradi, Chafik Samir
A New Framework for Classifying Probability Density Functions
Statistiques
2023
UNDEFINED
Charlie Sire, Yann Richet, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin
FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations
Statistiques
2023
ART
Jérémy Rohmer, Charlie Sire, Sophie Lecacheux, Déborah Idier, Rodrigo Pedreros
Improved metamodels for predicting high-dimensional outputs by accounting for the dependence structure of the latent variables: application to marine flooding
Stochastic Environmental Research and Risk Assessment - 2023
Planetes et univers
2023
COMM
Marc Grossouvre, Didier Rullière
What geostatistical model for uncertainly geolocated Energy Performance Certificates (EPC)?
Spatial Statistics 2023: Climate and the Environment - 2023
Statistiques
2023
COMM
Mohamed Gharafi, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche
Multiobjective optimization with a quadratic surrogate-assisted CMA-ES
GECCO 2023 - Genetic and Evolutionary Computation Conference - 2023
Informatique/Apprentissage
2023
LECTURE
Rodolphe Le Riche
Bayesian and evolutionary optimization: searching from both sides
Informatique/Recherche opérationnelle
2023
ART
Julien Pelamatti, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet
Coupling and selecting constraints in Bayesian optimization under uncertainties
Optimization and Engineering - 2023
Informatique/Modélisation et simulation
2023
COMM
Marc Grossouvre, Didier Rullière, Jonathan Villot
About spatial interpolation using mixture distributions for predicting Energy Performance Certificate
54es Journées de Statistique la Société Française de Statistique (SFdS) - 2023
Sciences de l'environnement
2023
ART
Clément Laboulfie, Mathieu Balesdent, Loïc Brevault, François-Xavier Irisarri, Jean-François Maire, Sebastien da Veiga, Rodolphe Le Riche
Sequential calibration of material constitutive model using mixed-effects calibration
Mechanics & Industry - 2023
Maths
2023
COMM
Marc Grossouvre, Didier Rullière
Quelle géostatistique pour des Diagnostics de Performance Energétique (DPE) à la localisation incertaine ?
Rencontres R 2023 - 2023
Informatique/Algorithme et structure de données
2023
COMM
Anthony Quintin, Tom Petit, Rudy Chocat, Cécile Mattrand, Jean-Marc Bourinet
Uncertainty quantification of the reference temperature $T_0$ of reactor pressure vessel steel with experimental and numerical computation of fracture toughness tests
CFRAC 2023 - The Seventh International Conference on Computational Modeling of Fracture and Failure of Materials and Structures - 2023
Sciences de l'ingenieur
2023
COMM
Tanguy Appriou
Talk on: Bayesian Optimization in High Dimension Using a Combination of Kriging Sub-models
UNCECOMP 2023 - 2023
Statistiques
2023
COMM
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Sanaa Zannane, Merlin Keller
LEARNING FUNCTIONS DEFINED OVER SETS OF VECTORS WITH KERNEL METHODS
5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2023) - 2023
Maths
2023
COMM
Tanguy Appriou
Talk on: Bayesian Optimization for High-Dimensional Problems Using a Combination of Kriging Surrogate Models
WCSMO-15 - 2023
Statistiques
2023
COMM
Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet
Unsupervised Representation Learning in Multivariate Time Series with Simulated Data
2023 Prognostics and Health Management Conference (PHM) - 2023
2023
ART
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Quantizing rare random maps: application to flooding visualization
Journal of Computational and Graphical Statistics - 2023
Statistiques
2023
COMM
Tanguy Appriou, David Gaudrie, Didier Rullière
Bayesian Optimization For High-Dimensional Problems Using A Combination Of Kriging Surrogate Models
Journées Scientifiques du CIROQUO - 2023
Statistiques
2023
COMM
Didier Rullière, Rodolphe Le Riche
On Gaussian Processes for Spatial Modeling and Optimization
Joint HUST-LIMOS online Workshop on Operations Research, AI and Networks (ORAIN 2023) - 2023
Maths
2023
COUV
Renaud Chicoisne, Fernando Ordóñez, Daniel Castro
Location and Strategies in Stackelberg Security Games with Risk Aversion
Informatique/Recherche opérationnelle
2023
COMM
Benoit Albert, Violaine Antoine, Jonas Koko
Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers
International Conference on Optimization and Learning - 2023
Maths
2023
ART
Tien-Tam Tran, Anis Fradi, Chafik Samir
Learning, inference, and prediction on probability density functions with constrained gaussian processes
Information Sciences - 2023
Statistiques
2023
COMM
David R.C. Hill, Benjamin A. Antunes, Thomas Cluzel, Claude Mazel
A few words about quantum computing, epistemology, repeatability and reproducibility
21th EU/MEeting x Quantum School; Emerging optimization methods: from metaheuristics to quantum approaches - 2023
2023
POSTER
Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet
Learning Multivariate Time Series with Unsupervised Representation Methods using Simulated Datasets
2023
COMM
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Augmented quantization : a general approach to mixture models
MASCOT-NUM2023 - 2023
Statistiques
2023
POSTER
Tanguy Appriou, Didier Rullière, David Gaudrie
Bayesian Optimization in High-dimension via a Combination of Kriging sub-models
Statistiques
2023
POSTER
Babacar Sow, Rodolphe Le Riche, Sanaa Zannane, Merlin Keller, Julien Pelamatti
Cloud of points as discrete measures for Gaussian models and stochastic optimization
Statistiques
2023
POSTER
Tanguy Appriou
Poster on Combination of Kriging models for Bayesian optimization in high-dimension
Statistiques
2023
ART
Renaud Chicoisne
Computational Aspects of Column Generation for Nonlinear and Conic Optimization: Classical and Linearized Schemes
Computational Optimization and Applications - 2023
Informatique/Recherche opérationnelle
2023
POSTER
Armel Soubeiga, Jessem Ettaghouti, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno
Clustering de séries chronologiques de patients souffrant de douleurs chroniques
Informatique/Intelligence artificielle
2023
COMM
Armel Soubeiga, Jessem Ettaghouti, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno
Classification automatique de séries chronologiques de patients souffrant de douleurs chroniques
Extraction et Gestion des Connaissances (EGC) - 2023 - 2023
Informatique/Intelligence artificielle
2023
OTHER
Marc Grossouvre, Jonathan Villot, Didier Rullière
Prédire la performance énergétique des bâtiments
Statistiques
2023
ART
Chafik Samir, Ines Adouani
Bézier Splines Interpolation on Stiefel and Grassmann Manifolds
Journal of Computational and Applied Mathematics - 2023
Maths
2023
ART
Ines Adouani, Chafik Samir
Numerical algorithms for Spline Interpolation on Space of Probability Density Functions
Journal of Computational and Applied Mathematics - 2023
Maths
2023
COMM
Benoit Albert, Violaine Antoine, Jonas Koko
Optimisation de Fuzzy C-Means (FCM) clustering par la méthode des directions alternées (ADMM)
Extraction et Gestion des Connaissances (EGC) - 2023
Informatique/Intelligence artificielle
2023
ART
Geraldine André, Bruno Bachelet, Pietro Battistoni, Amina Belhassena, Sandro Bimonte, Christophe Cariou, Frederic Chabot, Gérard Chalhoub, Adrian Couvent, Georgia Garani, Jean Laneurit, Rim Moussa, Konstantinos Oikonomou, Ibrahim Sammour, Monica Sebillo, Mateus Vilela Souza, Nicolas Tricot, Robert Wrembel
LambdAgrIoT: a New Architecture for Agricultural Autonomous Robots' Scheduling: from Design to Experiments
Cluster Computing - 2023
Informatique/Robotique
2023
ART
Ernesto Oré, Philippe Mahey, Eladio Ocaña
Inertial-relaxed splitting for composite monotone inclusions
Open Journal of Mathematical Optimization - 2023
Maths
2022
COMM
Isabelle Veissier, Romain Lardy, Marie-Madeleine Mialon, Quentin Ruin, Violaine Antoine, Jonas Koko
Machine Learning applied to behaviour monitoring to detect diseases, reproductive events and disturbances in dairy cows
26. Rencontres autour des Recherches sur les Ruminants (3R 2022) - 2022
Sciences du vivant
2022
THESE
Alexandre Boyer
Contributions to Computing needs in High Energy Physics Offline Activities : Towards an efficient exploitation of heterogeneous, distributed and shared Computing Resources
Informatique/Performance et fiabilité
2022
ART
Anis Fradi, Chafik Samir, François Bachoc
A scalable approximate Bayesian inference for high-dimensional Gaussian processes
Communications in Statistics - Theory and Methods - 2022
Statistiques
2022
COMM
Roxane Jouseau, Sébastien Salva, Chafik Samir
On Studying the Effect of Data Quality on Classification Performances
Intelligent Data Engineering and Automated Learning - {IDEAL} 2022 - 2022
Statistiques
2022
COMM
Tanguy Appriou
Talk on Bayesian optimization for high-dimensional problems
Journées CIROQUO novembre 2022 - 2022
Statistiques
2022
COMM
Mateus Vilela Souza, Bruno Bachelet, Thiago Noronha, Loïc Yon, Christophe Duhamel
A Model for Scheduling a Fleet of Autonomous Electric Agricultural Robots
LIV Brazilian Symposium of Operational Research (SBPO) - 2022
Informatique/Recherche opérationnelle
2022
ART
Bruno Bachelet, Pietro Battistoni, Sandro Bimonte, Christophe Cariou, Gérard Chalhoub, Fabien Coutarel, Nicolas Tricot
Towards an Architecture for Online Scheduling of Autonomous Robots in Agriculture: Open Issues
International Journal of Smart Vehicles and Smart Transportation - 2022
Sciences de l'ingenieur
2022
COMM
David R.C. Hill
Reproducibility of simulations and High Performance Computing
ESM 2022, European Simulation and Modelling Conference - 2022
2022
COMM
Roxane Jouseau, Chafik Samir, Sébastien Salva
Data quality in the context of classification tasks
38èmes journées de la conférence BDA « Gestion de Données – Principes, Technologies et Applications - 2022
Informatique/Apprentissage
2022
ART
Djoko Kamdem, Jonas Koko, Mohamed Mbehou, Toni Sayah
Stokes and Navier-Stokes equations under power law slip boundary condition: Numerical Analysis
Computers & Mathematics with Applications - 2022
Maths
2022
ART
Djoko Kamdem, Jonas Koko
GLS methods for Stokes equations under boundary condition of friction type: formulation-analysis-numerical schemes and simulations
SeMA Journal: Bulletin of the Spanish Society of Applied Mathematics - 2022
Maths
2022
ART
Tam Tien Tran, Yan Feunteun, Chafik Samir, José Braga
A scalable Matérn Gaussian process for learning spatial curves distributions
Information Sciences - 2022
Informatique/Intelligence artificielle
2022
COMM
Ines Adouani, Chafik Samir
An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds
Machine Learning, Optimization, and Data Science - 2022
Informatique/Intelligence artificielle
2022
COMM
Zhiqiang Wang, Kenneth Ezukwoke, Anis Hoayek, Mireille Batton-Hubert, Xavier Boucher
NLP based on GCVAE for intelligent Fault Analysis in Semiconductor industry
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) - 2022
Informatique/Modélisation et simulation
2022
COMM
Clément Laboulfie, Mathieu Balesdent, Loïc Brevault, François-Xavier Irisarri, Jean-François Maire, Sebastien da Veiga, Rodolphe Le Riche
Sequential calibration of material model using mixed-effects
25ème Congrès Français de Mécanique - 2022
Informatique/Modélisation et simulation
2022
COMM
Charles Surget, Sylvain Dubreuil, Jérôme Morio, Cécile Mattrand, Jean-Marc Bourinet, Nicolas Gayton
Étude de l'influence de l'échantillonnage statistique et des incertitudes d'inférence probabiliste sur la variance d'un estimateur
25ème Congrès Français de Mécanique Nantes - 2022
Sciences de l'ingenieur
2022
ART
Hassan Maatouk, Xavier Bay, Didier Rullière
A note on simulating hyperplane-truncated multivariate normal distributions
Statistics and Probability Letters - 2022
Statistiques
2022
ART
Alexandre F Boyer, Christophe Haen, Federico Stagni, David R.C. Hill
DIRAC Site Director: Improving Pilot-Job provisioning on grid resources
Future Generation Computer Systems - 2022
2022
COMM
Rodolphe Le Riche
Optimization for quantitative decisions: a versatile multi-tasker or an utopia?
Ecole d'Ete en Intelligence Artificielle (EEIA 2022) - 2022
Informatique/Ingénierie, finance et science
2022
COMM
Benjamin A. Antunes, David R.C. Hill
Utilisation de l'intelligence artificielle distribuée pour des simulations reproductibles de l'épidémie de Covid19
Giseh 2022 - 2022
Informatique/Système multi-agents
2022
COMM
David R.C. Hill, Christophe Haen, Alexandre F Boyer, Federico Stagni
Porting DIRAC Benchmark to Python3: impact of the discrepancies and solutions
41st International Conference on High Energy physics – ICHEP - 2022
Physique
2022
ART
François Bachoc, Nicolas Durrande, Didier Rullière, Clément Chevalier
Properties and comparison of some Kriging sub-model aggregation methods
Mathematical Geosciences - 2022
Maths
2022
COMM
Julien Tourille, Babacar Sow, Adrian Popescu
Automatic Detection of Bot-generated Tweets
1st ACM International Workshop on Multimedia AI against Disinformation - 2022
Informatique/Informatique et langage
2022
COMM
Sylvain Lapeyrade, Christophe Rey, Bruno Bachelet, Loïc Yon
Raisonnements ontologiques temps réel pour l’IA des personnages non-joueurs dans les jeux vidéo
Journées Francophones sur les Systèmes Multi-Agents (JFSMA) - 2022
Informatique/Intelligence artificielle
2022
COMM
Mohamed Abdillahi Isman, Anne-Françoise Yao, Paul-Marie Grollemund, Julien Ah-Pine
Modèle de régression et prévision de séries temporelles pour la demande en électricité à Djibouti
53èmes Journées de Statistique de la Société Française de Statistique (SFDS) - 2022
Statistiques
2022
POSTER
Marc Grossouvre, Didier Rullière
Mixture kriging on granular data
Statistiques
2022
POSTER
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Sanaa Zannane, Merlin Keller
Gaussian Processes Indexed by Clouds of Points: a study Babacar SOW (EMSE, LIMOS), Rodolphe LE RICHE (CNRS, LIMOS)
Informatique/Modélisation et simulation
2022
COMM
Etienne Jules, Cécile Mattrand, Jean-Marc Bourinet
Health indicator learning for predictive maintenance based on a triplet loss and deep siamese network
The 8th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS Congress 2022 - 2022
Informatique/Traitement du signal et de l'image
2022
COMM
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Quantization applied to the visualization of low-probability flooding events
The 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022) - 2022
Informatique/Modélisation et simulation
2022
PROCEEDINGS
Alexandre F Boyer, Christophe Haen, Federico Stagni, David R C Hill
A Subset of the CERN Virtual Machine File System: Fast Delivering of Complex Software Stacks for Supercomputing Resources
Informatique/Calcul parallèle, distribué et partagé
2022
COMM
Tanguy Appriou
Talk on Bayesian optimization in high-dimension using a combination of sub-models
Journées CIROQUO mai 2022 - 2022
Statistiques
2022
COMM
Rodolphe Le Riche, David Gaudrie, Victor Picheny, Youssef Diouane, Adrien Spagnol, Sébastien da Veiga
Which Gaussian Process for Bayesian Optimization ?
2022 Optimization Days - 2022
Informatique/Ingénierie, finance et science
2022
COMM
Rodolphe Le Riche
De l'optimisation à l'IA pour l'identification : un voyage à travers les small data
Modélisation et simulation numérique des matériaux - 2022
Informatique/Ingénierie, finance et science
2022
ART
Djoko Kamdem Jules, Jonas Koko, Sognia Konlack
Stokes equations under Tresca friction boundary condition: a truncated approach
Advances in Computational Mathematics - 2022
Maths
2022
COMM
Julien Pelamatti, Mohamed Reda El Amri, Rodolphe Le Riche, Christophette Blanchet-Scalliet, Céline Helbert
Sampling Criteria for Constrained Bayesian Optimization under Uncertainty
Hybrid Conference: 2022 SIAM Conference on Uncertainty Quantification - 2022
Informatique/Modélisation et simulation
2022
COMM
Charlie Sire, R. Le Riche, D. Rulliere, Jérémy Rohmer, L. Pheulpin, Y. Richet
Quantization applied to the visualization of low-probability flooding events
SIAM UQ22 - Siam Conference on Uncertainty Quantification - 2022
Statistiques
2022
COMM
Charlie Sire, Yann Richet, Lucie Pheulpin, Jérémy Rohmer, Rodolphe Le Riche, Didier Rullière
Robust inversion under uncertainty for flooding risk analysis
SIAM Conference on Uncertainty Quantification (UQ22) - 2022
Maths
2022
OTHER
Paul-Antoine Bisgambiglia, David R.C. Hill
Reproductibilité numérique : enjeux de crédibilité pour les expériences de simulation
2022
UNDEFINED
Laurence Grammont, Xavier Bay, Hassan Maatouk
Optimal Smoothing and Gaussian Processes with noisy data under constraints
Statistiques
2022
COMM
David R.C. Hill, Benjamin A. Antunes
Reproductibilité et modèles Covid - un modèle multi-agents
Journées DEVS Francophones - Convergences entre la Théorie de la Modélisation et de la Simulation et les Systèmes multi-agents, IES Cargèse, France. 2022 - 2022
Sciences du vivant
2022
COMM
Rodolphe Le Riche, David Gaudrie, Jhouben Cuesta-Ramirez, Sami Ben Elhaj Salah, Olivier Roustant, Victor Picheny, Nicolas Durrande, Xavier Bay, Julien Bruchon, Nicolas Moulin
A discussion of the current and potential uses of Gaussian Processes in mechanics
Journée scientifique de la SF2M: matériau numérique - 2022
Informatique/Ingénierie, finance et science
2022
ART
Oliver Bodart, Valérie Cayol, Farshid Dabaghi, Jonas Koko
An inverse problem in an elastic domain with a crack : a fictitious domain approach
Computational Geosciences - 2022
Planetes et univers
2022
ART
Anis Fradi, Chafik Samir, José Braga, Shantanu Joshi, Jean-Michel Loubes
Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes
IEEE Transactions on Image Processing - 2022
Statistiques
2022
ART
Alexandre F. Boyer, Christophe Haen, Federico Stagni, David R.C. Hill
Pilot-job provisioning on grid resources: Collecting analysis and performance evaluation data
Data in Brief - 2022
Physique
2022
ART
Jhouben Cuesta-Ramirez, Rodolphe Le Riche, O Roustant, Guillaume Perrin, Cedric Durantin, Alain Gliere
A comparison of mixed-variables Bayesian optimization approaches
Advanced Modeling and Simulation in Engineering Sciences - 2022
Informatique/Modélisation et simulation
2022
ART
Youssef Diouane, Victor Picheny, Rodolphe Le Riche, Alexandre Scotto Di Perrotolo
TREGO: a Trust-Region Framework for Efficient Global Optimization
Journal of Global Optimization - 2022
Informatique/Ingénierie, finance et science
2021
THESE
Alexandre Bardakoff
Analysis and Execution of a Data-Flow Graph Explicit Model Using Static Metaprogramming
Informatique/Calcul parallèle, distribué et partagé
2021
ART
Oskar Laverny, Esterina Masiello, Véronique Maume-Deschamps, Didier Rullière
Estimation of multivariate generalized gamma convolutions through Laguerre expansions
Electronic Journal of Statistics - 2021
Maths
2021
LECTURE
Rodolphe Le Riche, Charlie Sire
Introduction to Global Optimization
Informatique/Ingénierie, finance et science
2021
ART
Jean-Pierre Crouzeix
On Quasiconvex Functions Which are Convexifiable or Not
Journal of Optimization Theory and Applications - 2021
Maths
2021
COMM
Amina Belhassena, Pietro Battistoni, Mateus Vilela Souza, Jean Laneurit, Rim Moussa, Sandro Bimonte, Robert Wrembel, Mouad Abouqateb, Christophe Cariou, Gerard Chalhoub, Géraldine André, Monica Sebillo, Bruno Bachelet
Towards an Architecture for Agricultural Autonomous Robots’ Scheduling
IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW) - 2021
Informatique/Réseaux et télécommunications
2021
REPORT
Jules K Djoko, Jonas Koko, Sognia Konlack
Stokes equation under Tresca friction boundary condition: a truncated approach
Maths
2021
LECTURE
Rodolphe Le Riche, Dédji Brian Whannou, Espéran Padonou
An introduction to optimization for machine learning
Informatique/Ingénierie, finance et science
2021
THESE
Anis Fradi
Bayesian Inference within the Framework of 2D and 3D Shape Analysis
Informatique/Apprentissage
2021
ART
Rodolphe Le Riche, Victor Picheny
Revisiting Bayesian Optimization in the light of the COCO benchmark
Structural and Multidisciplinary Optimization - 2021
Informatique/Ingénierie, finance et science
2021
POSTER
Clio Der Sarkissian, Jakob Thyrring, Xavier Mata, Jean Dumoncel, Sarah Ivorra, Allowen Evin, Ludovic Orlando, Chafik Samir, José Braga
Advancing Ancient Mollusk Shells as Multi-Proxy Archives of the Past
Sciences du vivant
2021
COMM
Charlie Sire, Yann Richet, Jeremy Rohmer, Rodolphe Le Riche, Didier Rullière, Lucie Pheulpin
Robust inversion for risk analysis – application to the failure of defences against floodin
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021) - 2021
Informatique/Modélisation et simulation
2021
COMM
Sylvain Lapeyrade, Christophe Rey, Bruno Bachelet, Loïc Yon
Raisonnements ontologiques pour la crédibilité des IA dans les jeux vidéo
Journée Jeux et IA, PFIA - 2021
Informatique/Intelligence artificielle
2021
COMM
Reda El Amri, Julien Pelamatti, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet
Coupling constraints in Bayesian optimization with uncertainties
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021) - 2021
Informatique/Modélisation et simulation
2021
COMM
Clément Laboulfie, Mathieu Balesdent, Loïc Brevault, Sebastien da Veiga, François-Xavier Irisarri, Rodolphe Le Riche, Jean-François Maire
Calibration of material model using mixed-effects models
4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021) - 2021
Informatique/Modélisation et simulation
2021
PROCEEDINGS
Anis Fradi, Ines Adouani, Chafik Samir
Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling
Statistiques
2021
COMM
David R.C. Hill
Le numérique actuel est-il durable ?
TERINT 2021 – 1er Colloque 2021 sur l’émergence de TERritoires INTelligents - 2021
Sciences de l'environnement
2021
POSTER
Clio Der Sarkissian, Jakob Thyrring, Xavier Mata, Jean Dumoncel, Sarah Ivorra, Allowen Evin, Ludovic Orlando, Chafik Samir, José Braga
Advancing Ancient Mollusk Shells as Multi-Proxy Archives of the Past
Sciences du vivant
2021
ART
Oskar Laverny, Esterina Masiello, Véronique Maume-Deschamps, Didier Rullière
Dependence structure estimation using Copula Recursive Trees
Journal of Multivariate Analysis - 2021
Maths
2021
COMM
Mateus Vilela Souza, Bruno Bachelet, Thiago F. Noronha, Loïc Yon, Christophe Duhamel
Online Scheduling with Time Windows of Agricultural Robots
22ème congrès de la société française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF) - 2021
Informatique/Recherche opérationnelle
2021
OUV
Philippe Lacomme, Gérard Fleury, Matthieu Gondran, Chafik Samir
Découverte du Machine Learning - Les outils de l'apprentissage automatique
Informatique/Intelligence artificielle
2021
REPORT
Olivier Roustant, Rodolphe Le Riche, Josselin Garnier, David Ginsbourger, Yves Deville, Céline Helbert, Luc Pronzato, Clémentine Prieur, Fabrice Gamboa, François Bachoc, Jeremy Rohmer, Guillaume Perrin, Amandine Marrel, Guillaume Damblin, Alain Gliere, Delphine Sinoquet, Yann Richet, Sébastien da Veiga, Frédéric Huguet
Chair in applied mathematics OQUAIDO Activity report
Informatique/Ingénierie, finance et science
2021
ART
Thomas Deregnaucourt, Chafik Samir, Sebastian Kurtek, Anne-Francoise Yao
Shape-constrained Gaussian process regression for surface reconstruction and multimodal, non-rigid image registration
Journal of Applied Statistics - 2021
Informatique/Apprentissage
2021
ART
Anis Fradi, Y. Feunteun, Chafik Samir, M. Bakloul, François Bachoc, Jean-Michel Loubes
Bayesian Regression and Classification Using Gaussian Process Priors Indexed by Probability Density Functions
Information Sciences - 2021
Informatique/Intelligence artificielle
2021
COMM
Hajer Fradi, Anis Fradi, Jean-Luc Dugelay
Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification
16th International Conference on Computer Vision Theory and Applications - 2021
Statistiques
2021
ART
Chafik Samir, Wen Huang
Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes
Applied Mathematics and Computation - 2021
Informatique/Vision par ordinateur et reconnaissance de formes
2021
ART
J. Braga, C. Samir, Anis Fradi, Yann Feunteun, K. Jakata, V. Zimmer, B. Zipfel, J. Thackeray, M. Macé, B. A. Wood, F. Grine
Cochlear shape distinguishes southern African early hominin taxa with unique auditory ecologies
Scientific Reports - 2021
Planetes et univers
2021
ART
Amina Chorfi, Jonas Koko, Olivier Bodart
A fictitious domain decomposition method for a nonlinear bonded structure
Mathematics and Computers in Simulation - 2021
Maths
2021
ART
Rui Sá Shibasaki, Mourad Baïou, Francisco Barahona, Philippe Mahey, Mauricio Souza
Lagrangian bounds for large‐scale multicommodity network design: a comparison between Volume and Bundle methods
International Transactions in Operational Research - 2021
Informatique/Mathématique discrète
2021
COMM
Charlie Sire, Rodolphe Le Riche, Didier Rulliere, Lucie Pheulpin, Yann Richet
Robust inversion under uncertainty for risk analysis – application to the failure of defences against flooding
MASCOT 21 Meeting, GDR - 2021
Maths
2020
COMM
Olivier Roustant, Rodolphe Le Riche
de OQUAIDO à CIROQUO -- bilan de 5 ans de la chaire OQUAIDO en mathématiques appliquées
Journées scientifiques d'automne de la chaire OQUAIDO - 2020
Informatique/Ingénierie, finance et science
2020
COMM
Julien Pelamatti, Rodolphe Le Riche, Celine Helbert, Christophette Blanchet-Scalliet
Coupling constraints in Bayesian optimization with uncertainties
Journées scientifiques d'automne de la chaire OQUAIDO - 2020
Informatique/Ingénierie, finance et science
2020
COMM
Jhouben Janyk Cuesta Ramirez, Olivier Roustant, Alain Gliere, Rodolphe Le Riche, Cédric Durantin, Guillaume Perrin
Optimization in presence of categorical variables
Journées scientifiques d'automne de la chaire OQUAIDO - 2020
Informatique/Ingénierie, finance et science
2020
COMM
Alexandre Bardakoff, Bruno Bachelet, Timothy Blattner, Walid Keyrouz, Gerson C. Kroiz, Loïc Yon
Hedgehog: Understandable Scheduler-Free Heterogeneous Asynchronous Multithreaded Data-Flow Graphs
IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM) - 2020
Informatique/Génie logiciel
2020
UNDEFINED
Nabil Kazi-Tani, Didier Rullière
A new proof of Williamson's representation of multiply monotone functions
Maths
2020
THESE
Nicolas Garland
Métamodélisation introspective pour l’analyse des phénomènes physiques simulés. Formalisation dans le cadre du krigeage et intégration algorithmique en optimisation et inversion.
Maths
2020
COMM
Alexandre F Boyer, David R C Hill, Christophe Haen, Federico Stagni
Pilot-Job Provisioning through CREAM Computing Elements on the Worldwide LHC Computing Grid
34th European Simulation and Modelling Conference (ESM) - 2020
Informatique/Performance et fiabilité
2020
COMM
Alexis Pereda, David R.C. Hill, Claude Mazel, Bruno Bachelet
Repeatability with Random Numbers Using Algorithmic Skeletons
34th European Simulation and Modelling Conference (ESM) - 2020
Informatique/Génie logiciel
2020
COMM
Nicolas Wagner, Violaine Antoine, Jonas Koko, Marie-Madeleine Mialon, Romain Lardy, Isabelle Veissier
Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows
International Symposium on Methodologies for Intelligent Systems (ISMIS) - 2020
Informatique/Apprentissage
2020
THESE
Rui Sa Shibasaki
Lagrangian Decomposition Methods for Large-Scale Fixed-Charge Capacitated Multicommodity Network Design Problem
Informatique/Réseaux et télécommunications
2020
COMM
Isabelle Veissier, Nicolas Wagner, Marie-Madeleine Mialon, Romain Lardy, Dorothee Ledoux, Alice de Boyer Des Roches, Mathieu Silberberg, Bruno Meunier, Violaine Antoine, Jonas Koko
Detection of early behavioural signs of disease as a way to manage animal health
Workshop on precision livestock farming and social interactions in dairy cattle - 2020
Sciences du vivant
2020
COMM
Rodolphe Le Riche, Adrien Spagnol, David Gaudrie, Sébastien da Veiga, Victor Picheny
Reducing dimension in Bayesian Optimization
LIMOS internal seminar - 2020
Informatique/Ingénierie, finance et science
2020
THESE
Adrien Spagnol
Kernel-based sensitivity indices for high-dimensional optimization problems
Maths
2020
COMM
Nicolas Wagner, Violaine Antoine, Jonas Koko, Romain Lardy
Fuzzy k-NN Based Classifiers for Time Series with Soft Labels
18. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - 2020
Informatique/Analyse numérique
2020
ART
Anis Fradi, Chafik Samir
Bayesian cluster analysis for registration and clustering homogeneous subgroups in multidimensional functional data
Communications in Statistics - Theory and Methods - 2020
Statistiques
2020
COMM
Alexandre Bardakoff, Timothy Blattner, Bruno Bachelet, Walid Keyrouz, Loïc Yon
Hedgehog: a Performance-Oriented General Purpose Library for Multi-GPU Systems
GPU Technology Conference (GTC) - 2020
Informatique/Génie logiciel
2020
ART
Firmin Andzembe Okoubi, Jonas Koko
Parallel Nesterov Domain Decomposition Method for Elliptic Partial Differential Equations
Parallel Processing Letters - 2020
Maths
2020
REPORT
Thomas Cluzel, Claude Mazel, David R.C. Hill
Découverte de l'informatique quantique, état de l'art et tests sur machine IBM
2020
COMM
Alexis Pereda, David R.C. Hill, Claude Mazel, Loïc Yon, Bruno Bachelet
Processing Algorithmic Skeletons at Compile-Time
21ème congrès de la société française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF) - 2020
Informatique/Génie logiciel
2020
ART
Amina Chorfi, Jonas Koko
Alternating direction method of multiplier for the unilateral contact problem with an automatic penalty parameter selection
Applied Mathematical Modelling - 2020
Maths
2020
ART
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases
Structural and Multidisciplinary Optimization - 2020
Statistiques
2020
ART
Olivier Roustant, Fabrice Gamboa, Bertrand Iooss
Parseval inequalities and lower bounds for variance-based sensitivity indices
Electronic Journal of Statistics - 2020
Maths
2020
ART
Mickaël Binois, David Ginsbourger, Olivier Roustant
On the choice of the low-dimensional domain for global optimization via random embeddings
Journal of Global Optimization - 2020
Statistiques
2020
ART
Ines Adouani, Chafik Samir
A Constructive Approximation of Interpolating Bézier Curves on Riemannian Symmetric Spaces
Journal of Optimization Theory and Applications - 2020
Informatique/Intelligence artificielle
2020
COUV
Nicolas Garland, Rodolphe Le Riche, Yann Richet, Nicolas Durrande
Multi-fidelity for MDO using Gaussian Processes
Informatique/Ingénierie, finance et science
2019
REPORT
Thomas Cluzel, Claude Mazel, David R.C. Hill
Quantum computing : a short introduction.
Informatique/Bio-informatique
2019
UNDEFINED
Stéphanie Mahévas, Victor Picheny, Patrick Lambert, Nicolas Dumoulin, Lauriane Rouan, Christophe Soulié, Dimo Brockhoff, Sigrid Lehuta, Rodolphe Le Riche, Robert Faivre, Hilaire Drouineau
A practical guide for conducting calibration and decision-making optimisation with complex ecological models
Sciences du vivant
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Bayesian Optimization in Reduced Eigenbases
PGMO Days 2019 - 2019
Statistiques
2019
COMM
Mohamed Reda El Amri, Christophette Blanchet-Scalliet, Celine Helbert, Rodolphe Le Riche
Bayesian Optimization Under Uncertainty for Chance Constrained Problems
PGMO Days 2019 - 2019
Informatique/Modélisation et simulation
2019
COMM
Alexis Pereda, David R.C. Hill, Claude Mazel, Bruno Bachelet
Algorithmic Skeletons Using Template Metaprogramming
14th International Student Conference on Advanced Science and Technology (ICAST) - 2019
Informatique/Génie logiciel
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Budgeted Bayesian Multiobjective Optimization
Journées de la Chaire Oquaido 2019 - 2019
Statistiques
2019
THESE
David Gaudrie
High-Dimensional Bayesian Multi-Objective Optimization
Maths
2019
COMM
Olivier Roustant, Michel Lutz
Un exemple de compétition pédagogique en science des données
Colloque francophone international sur l'enseignement de la statistique - 2019
Statistiques
2019
THESE
Andrés F. López-Lopera
Gaussian Process Modelling under Inequality Constraints
Maths
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny
Faster Multi-Objective Optimization: Cumulating Gaussian Processes, Preference Point and Parallelism
19th French-German-Swiss conference on optimization - 2019
Informatique/Ingénierie, finance et science
2019
LECTURE
Rodolphe Le Riche
Optimization under uncertainties: an overview with a focus on Gaussian processes
Informatique/Ingénierie, finance et science
2019
LECTURE
Rodolphe Le Riche, Nicolas Durrande
An overview of kriging for researchers
Informatique/Ingénierie, finance et science