Program

Tuesday, April 2
  17:00 Room check-in
  18:00 Conference registration
  19:45 Dinner
 
Wednesday, April 3
  8:30 Opening

Keynote – Session 1

9:00 Dario AZZIMONTI (IDSIA)
A short overview of preference learning with Gaussian process based approaches
AbstractSlides

Student – Session 1

Chair: Sidonie Lefebvre

9:50 Guillaume CHENNETIER
Adaptive importance sampling of stochastic processes with graph-based mean hitting times
AbstractSlides
  10:20 Coffee break

Student – Session 2

Chair: Bertrand Iooss

10:45 Clement DUHAMEL
Sampling criteria for excursion set estimation on multi-output models
AbstractSlides
11:15 Romain AIT ABDELMALEK-LOMENECH 
A stepwise uncertainty reduction strategy for the estimation of small quantile sets
AbstractSlides
11:45 Poster blitz
  12:15 Lunch

Student – Session 3

Chair: Julien Reygner

14:00 Tanguy APPRIOU 
High-Dimensional Bayesian Optimization with a Combination of Kriging models
Abstract Slides
14:30 Fanny LEHMANN 
Quantifying uncertainties in seismic waves propagation with a Fourier Neural Operator surrogate model
AbstractSlides
15:00 Poster blitz
  15:30 Coffee break

Student – Session 4

Chair: Sébastien Da Veiga

16:00 Julien DEMANGE-CHRYST 
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
AbstractSlides
16:30 Noé FELLMANN 
Sensitivity analysis of set-valued models
AbstractSlides
17:00 Paul LARTAUD 
I-optimal sequential design for Bayesian inverse problems with Gaussian process surrogate models
AbstractSlides
Posters – Session 1 17:30 – 19:00 Poster session
  19:00 Cocktail
  19:45 Dinner
 
Thursday, April 4

Tutorial – Part. 1

Chair: Guillaume Perrin

8:30 Anna Maria Massone 
Image reconstruction methods and machine learning techniques: applications to astronomical imaging and space weather (Tutorial Part 1)
Abstract – Intro – Slides
  9:45 Coffee break

Keynote – Session 2
Chair: Miguel Munoz Zuniga

10:20 Chiara Tommasi 
Optimal design of experiments for model discrimination
AbstractSlides
11:10 Alessandro Rudi 
Kernel Methods in the quest for adaptivity in infinite-dimensional optimisation with dense conic constraints: with application in non-convex optimisation, optimal transport and beyond
AbstractSlides
  12:00 Lunch
Keynote – Session 3
Chair: Victor Picheny
14:00 Henry Moss 
An Automatic Climate Scientist: Using Gaussian processes to uncover the secrets of the universe
AbstractSlides
14:50 Aretha Teckentrup 
Smoothed circulant embedding and applications in multilevel Monte Carlo methods
AbstractSlides
  15:40 Coffee break

Keynote – Session 4
Chair: Clémentine Prieur

16:10 Patricia Reynaud-Bouret 
Theoretical and practical implications of the Kalikow decomposition in the study of neuronal networks: simulation, statistics and learning
AbstractSlides
 Posters – Session 2 17:00 – 18:30 Poster session
  19:45 Dinner
 
Friday, April 5

Tutorial – Part. 2

Chair: Céline Helbert

8:30 Anna Maria Massone 
Image reconstruction methods and machine learning techniques: applications to astronomical imaging and space weather (Tutorial Part 2)
Abstract – Slides
  9:45 Awards & Coffee break

Keynote – Session 5
Chair: Julien Bect

10:20 Anthony Nouy 
Optimal sampling for linear and nonlinear approximation
AbstractSlides
11:10 Maria Strazzullo 
Reduced Order Methods for Parametric Optimal Control: an Overview and Diverse Applications
AbstractSlides
  12:00 Mascot-Num Talk
  12:15 Lunch*
  14:00 End of Mascot-Num

*lunch-box will be available for participants who have to leave early. Please let us know when registering on Tuesday.