MASCOT-NUM Annual Conference

IFPEN, Rueil-Malmaison (near Paris) - 18-20 March 2019

Program 

 Programme



Monday 18 March 

09.00

Opening of the welcome desk

09.30

Welcome Address
Xavier Longaygue, IFPEN

09.45

Dimension reduction of the input parameter space for potentially vector valued functions
Clémentine Prieur, Univ. Grenoble Alpes, Jean Kuntzmann Lab., Inria project/team AIRSEA
Abstract

10.45

Coffee break

11.00

Estimation of Borgonovo's moment independent importance measures
P. Derennes, Univ. Paul Sabatier
Abstract

11.30

Bayesian optimization in effective dimensions via kernel-based sensitivity indices
A. Spagnol, Ecole des Mines de Saint-Etienne, Safran Tech
Abstract

12.00

Gaussian process regression models under linear inequality conditions
A. F. Lopez-Lopera, Ecole des Mines de Saint-Etienne
Abstract

12.30

Lunch

14.00

Dimension reduction for the Bayesian optimization of shapes
D. Gaudrie, Ecole des Mines de Saint-Etienne, Groupe PSA
Abstract

14.30

Stochastic inversion under functional uncertainties M6R
M-R El Amri, Univ.Grenoble Alpes, IFPEN
Abstract

15.00

Poster Blitz 1

  Surrogate modeling of stochastic simulators using Karhunen-Loeve expansions
S. Azzi, Telecom ParisTech, LTCI, Univ. Paris-Saclay
Abstract
   
  Interpretability of statistical learning models in an industrial context
C. Benard, Safran Tech, Sorbonne Univ.
Abstract
   
  Gaussian process metamodeling for functional-input coastal ooding code
J. Betancourt, Toulouse Mathematics Institute, Univ. Paul Sabatier
Abstract
   
  Blackbox optimization and decomposition method for maintenance scheduling
T. Bittar, CERMICS, Ecole des Ponts ParisTech/PRISME Department, EDF R&D

Abstract
   
  Improvement of error covariance matrix computation in variational methods
S. Cheng, EDF R&D LIMSI, CNRS, Univ.Paris-Sud, Univ. Paris-Saclay
Abstract
   
  Chance constraint optimization of a complex system - Application to the design of a oating onshore wind turbine
A. Cousin, IFPEN & Ecole Polytechnique
Abstract
   
  Clustering multivariate functional data defined on random domains: an application to vehicle trajectories analysis
S. Golovkine, National School for Statistic and Information Analysis (ENSAI)
Abstract
   
  Polynomial chaos expansion for wave propagation
A. Goupy, CEA & ENS Paris-Saclay
Abstract
   
  Principal Component Analysis and ”boosted” weighted least-squares method for training tree tensor networks
Cecile Haberstich, Ecole Centrale Nantes
Abstract
   
  Sensitivity analysis of an avalanche flow dynamics model using aggregated indices
M-B Heredia, Irstea, Univ. Grenoble Alpes
Abstract
   
15.30 Coffee break
   

16.00

Sequential polynomial chaos expansions for Bayesian posterior computations with expensive computational forward models
P.-R. Wagner, ETH Zurich
Abstract

16.30

Conditional quantile optimization via branch and bound strategies
L. Torossian, INRA (MIAT)/Univ. Toulouse (Institute of Mathematics)
Abstract

17.00

Poster Blitz 2

  Maximum entropy on the mean approach to solve inverse problems with an application in computational thermodynamics
E.Lawrence, Univ. Paris Saclay, CEA DEN SCCME
Abstract
   
  Sparse polynomial chaos expansions: benchmark of compressive sensing solvers and experimental design techniques
N. Luthen, ETH Zurich, Switzerland
Abstract
   
  A predictive data Driven approach based on reduced order models for the morphodynamic study of a coastal water intake
R-S Mouradi, EDF R&D LNHE, CERFACS,  Univ. Toulouse, INPT
Abstract
   
  Extended principal component analysis algorithmfor adaptive model reduction in inverse problems
A. Mukhin, Moscow Institute of Physics and Technology
Abstract
   
  Combining geostatistics and numerical simulations to improve estimations of pollution plumes in ground-water
L. Pannecoucke, Mines ParisTech, Centre de Géosciences
Abstract
   
  Metamodelling for spatial outputs with functional PCA. Application to marine flooding
T.V.E. Perrin, Ecole des Mines de Saint-Etienne
Abstract
   
  AK-MCS extension for the efficient estimation of extreme quantiles and failure probabilities
N. Razaaly, INRIA, DEFI Team (INRIA Saclay Île-de-France, Ecole Polytechnique), Centre de Mathématiques Appliquées
Abstract
   
  Robust uncertainty quanti cation of a risk mea-surement from a computer code
J. Stenger, Univ.Toulouse III - Paul Sabatier
Abstract
   
  Optimisation of multi-year planning strategies to better integrate renewable energies and new electricity uses in the distribution grid
B. Tebbal Barracosa, L2S, CentraleSupelec, Univ. Paris-Saclay, EDF R&D
Abstract
   
  A rigorous framework to describe margins
A.Touboul, CERMICS - Univ. Paris-Est
Abstract
   
  Emulating the response PDF of stochastic simulators using sparse generalized lambda models
X. Zhu, ETH Zurich
Abstract
   
17.30 Poster Session
   
18.30 End of the poster session
   

Tuesday 19 March

08.30

Opening of  the welcome desk

09.00

Course: A short introduction to data assimilation (1/2)
Emmanuel Cosme, Univ. Grenoble Alpes
Abstract

10.30

Coffee break

11.00

Privacy sets revisited
Werner Müller, Johannes Kepler University Linz
Abstract

11.45

Finding a compromise between information and regret in clinical trials
Asya Metelkina, Azoth Systems
Abstract

12.30

Lunch

14.00

Measures minimizing regularized dispersion
Anatoli Zhigliavsky, Cardiff University
Abstract

14.45

Active observation of level lines of spatial fields
Maria Joao Rendas, CNRS
Abstract

15.30

Model-based robust design in industry
Ron Bates, Rolls-Royce
Abstract

16.15

Coffee break

16.45

Tumour caracterization from positron emission tomography imaging data
Eric Wolsztynski, Univ. College Cork
Abstract

17.30

Space-filling designs based on rényi entropy
Astrid Jourdan, EISTI
Abstract

   
18.15 End of the day's  lectures

20.00

Conference Dinner

   

Wednesday 20 March

8.30

Opening of  the welcome desk

09.00

Course: A short introduction to data assimilation (2/2)
Emmanuel Cosme, Univ. Grenoble Alpes
Abstract

10.30

Coffee break

11.00

Synthesis of geological images using deep learning techniques
Ahmed Elsheikh, Heriot-Watt University
Abstract

11.45

Machine learning techniques in industry. Application to oi refining
Benoit Celse, IFPEN
Abstract

12.05

A few elements of numerical analysis for PDEs with random coefficients of lognormal type
Julia Charrier, Univ. Aix-Marseille
Abstract

12.50

Efficient Topological and morphological characterization of 3D complex microstructures
Maxime Moreaud, IFPEN
Abstract

13.10

Lunch

14.10

Restricting ambitions in global multi-objective optimization of costly functions
Rodolphe Le Riche, École des Mines de Saint-Etienne
Abstract

14.55

 Statistical 3D analysis of foam bubbles in poreous media using a large NoSQL Database
Jean-François Lecomte, IFPEN
Abstract

15.15

Detecting and exploiting the low-effective dimension of multivariate problems using gradient information
Olivier Zahm, INRIA
Abstract

16.00

Optimisation et dimensionnement fiabiliste d’une éolienne offshore flottante
Martin Guiton, IFPEN
Abstract

16.20

GDR MASCOT-NUM
Hervé Monod, INRA

16.45

Closing remarks