Mascot-Num 2023

Program

Monday, April 3

  • Arrival to Le Croisic in the evening or end of afternoon.

Tuesday, April 4

Morning

  • 8h30 – Opening speech

First morning session (chair: Julien Bect)

  • 9h00 – Elizabeth Qian (Georgia Tech)
     ☞ Scalable engineering decision-making via multifidelity Sobol sensitivity analysis
     ☞ [abs] [slides]
  • 9h50 – PhD talk 1: Paul Saves (ONERA – ISAE-SUPAERO)
     ☞ A new mixed-categorical correlation kernel for Gaussian process
     ☞ [abs] [slides]
  • 10h20 – PhD talk 2: Elias Fekhari (EDF R&D – Université Nice Côte d'Azur)
     ☞ Target sensitivity informed reliability analysis for offshore wind turbine fatigue assessment
     ☞ [abs] [slides]
  • 10h50 – Coffee break

Second morning session (chair: Bertrand Iooss)

  • 11h15 – PhD talk 3: Iain Henderson (INSA Toulouse)
     ☞ Physics-informed Kriging with applications to inverse problems involving PDEs
     ☞ [abs] [slides]
  • 11h45 – Poster blitz I: 23 PhD posters
     ☞ [abs]
  • 12h30 – Lunch

Afternoon

First afternoon session (chair: Anthony Nouy)

  • 14h00 – PhD talk 4: Subhasish Basak (ANSES – Université Paris-Saclay, CNRS, CentraleSupélec, L2S)
     ☞ Bayesian multi-objective optimization for stochastic simulators
     ☞ [abs] [slides]
  • 14h30 – PhD talk 5: Lea Friedli (Université de Lausanne, ISTE)
     ☞ An energy-based model approach to the estimation of rare event probabilities
     ☞ [abs] [slides]
  • 15h00 – Poster blitz II: 23 PhD posters
     ☞ [abs]
  • 15h45 – Coffee break

Second afternoon session (chair: Guillaume Perrin)

  • 16h15 – PhD talk 6: Charlie Sire (BRGM – EMSE, CNRS, LIMOS – IRSN)
     ☞ Augmented quantization : a general approach to mixture models
     ☞ [abs] [slides]
  • 16h45 – PhD talk 7: Alexandra Würth (Centre Inria d'Université Côte d'Azur)
     ☞ Combining physics models and Gaussian processes for traffic prediction
     ☞ [abs] [slides]
  • 17h15 – PhD talk 8: Marouane Il Idrissi (Université Toulouse III Paul Sabatier, IMT – EDF R&D – SINCLAIR)
     ☞ Coalitional decompositions of quantities of interest: an input-centric point of view
     ☞ [abs] [slides]
  • 17h45 – Poster session I
     ☞ [abs]
  • 19h00 – End

Wednesday, April 5

Morning

First morning session (chair: Nicolas Bousquet)

  • 8h30 – Pierre Chainais (Centrale Lille, CRIStAL)
     ☞ Efficient sampling methods to solve inverse problems with credibility intervals (part 1)
     ☞ [abs] [slides]
  • 9h45 – Bernard Bercu (Université de Bordeaux, IMB)
     ☞ A giant python and a lazy elephant talking in a Chinese restaurant
     ☞ [abs] [slides]
  • 10h15 – Coffee break

Second morning session (chair: Sébastien Da Veiga)

  • 10h45 – Toni Karvonen (University of Helsinki)
     ☞ Parameter estimation and uncertainty quantification for Gaussian process interpolation
     ☞ [abs] [slides]
  • 11h30 – Elisabeth Gassiat (Université Paris-Saclay, CNRS, LMO)
     ☞ Still blind deconvolution
     ☞ [abs] [slides]
  • 12h15 – Lunch

Afternoon

First afternoon session (chair: Clémentine Prieur)

  • 14h00 – Agnès Lagnoux (Université Toulouse Jean Jaurès, IMT)
     ☞ New estimation of sensitivity indices using kernels
     ☞ [abs] [slides]
  • 14h45 – Alain Rouault (Université Paris-Saclay, UVSQ, CNRS, LMV)
     ☞ Walking with Fabrice among large deviations and sum rules
     ☞ [abs] [slides]
  • 15h30 – Coffee break

Second afternoon session (chair: Thierry Klein)

  • 16h00 – Elisabeth Ullmann (T.U. Munich)
     ☞ Rare event estimation with PDE-based models
     ☞ [abs]
  • 16h45 – Marc Lavielle (INRIA Saclay)
     ☞ Modelling and simulation in pharmacometrics: some methods, tools and still open problems
     ☞ [abs] [slides]
  • 17h30 – Poster session II
     ☞ [abs]
  • 19h00 – End

Thursday, April 6

Morning

First morning session (chair: Sidonie Lefebvre)

  • 8h30 – Pierre Chainais (Centrale Lille, CRIStAL)
     ☞ Efficient sampling methods to solve inverse problems with credibility intervals (part 2)
     ☞ [abs] [slides]
  • 9h45 – Coffee break

Second morning session (chair: Emmanuel Vazquez)

  • 10h15 – Eric Moulines (École Polytechnique, CMAP)
     ☞ Uncertainty quantification in a federated learning setting
     ☞ [abs] [slides]
  • 11h – Mireille Bossy (INRIA)
     ☞ Stochastic approach to model reduction in computational fluid mechanics.
     ☞ Application to wind time series
     ☞ [abs] [slides]
  • 11h45 – MASCOT-NUM talk
  • 12h00 – Lunch
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