| 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 Abstract |
|
Student – Session 1 Chair: Sidonie Lefebvre |
9:50 | Guillaume CHENNETIER Adaptive importance sampling of stochastic processes with graph-based mean hitting times Abstract – Slides |
| 10:20 | Coffee break | |
|
Student – Session 2 Chair: Bertrand Iooss |
10:45 | Clement DUHAMEL Sampling criteria for excursion set estimation on multi-output models Abstract – Slides |
| 11:15 | Romain AIT ABDELMALEK-LOMENECH A stepwise uncertainty reduction strategy for the estimation of small quantile sets Abstract – Slides |
|
| 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 Abstract – Slides |
|
| 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 Abstract – Slides |
| 16:30 | Noé FELLMANN Sensitivity analysis of set-valued models Abstract – Slides |
|
| 17:00 | Paul LARTAUD I-optimal sequential design for Bayesian inverse problems with Gaussian process surrogate models Abstract – Slides |
|
| 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 |
| 9:45 | Coffee break | |
|
Keynote – Session 2 |
10:20 | Chiara Tommasi Optimal design of experiments for model discrimination Abstract |
| 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 Abstract |
|
| 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 Abstract |
| 14:50 | Aretha Teckentrup Smoothed circulant embedding and applications in multilevel Monte Carlo methods Abstract |
|
| 15:40 | Coffee break | |
|
Keynote – Session 4 |
16:10 | Patricia Reynaud-Bouret Theoretical and practical implications of the Kalikow decomposition in the study of neuronal networks: simulation, statistics and learning Abstract |
| 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 |
| 9:45 | Awards & Coffee break | |
|
Keynote – Session 5 |
10:20 | Anthony Nouy Optimal sampling for linear and nonlinear approximation Abstract |
| 11:10 | Maria Strazzullo Reduced Order Methods for Parametric Optimal Control: an Overview and Diverse Applications Abstract |
|
| 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.
