| 08:00 - 08:30 |
Welcome of participants - Registration |
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| 08:30 - 08:45 |
Opening speech (Jean-Marc Bourinet, Rodolphe Le Riche) |
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| 08:45 - 09:30 |
Inv talk #1 - Sparse neural networks for forward and inverse estimation (Bojana Rosic) (Chairs: Victor Picheny, Céline Helbert) |
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| 09:30 - 10:30 |
PhD student talks #1-2 (Chairs: Sonja Kuhnt, Olivier Zahm) |
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| 09:30 - 10:00 |
PhD talk #1 - Robust prediction interval estimation for Gaussian processes by cross-validation method (Naoufal Acharki) |
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| 10:00 - 10:30 |
PhD talk #2 - Multi-fidelity surrogate modelling for time-series output (Baptiste Kerleguer) |
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| 10:30 - 11:00 |
Coffee break |
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| 11:00 - 12:30 |
PhD student talks #3-5 (chairs: Sébastien Da Veiga, Carsten Proppe) |
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| 11:00 - 11:30 |
PhD talk #3 - Randomized maximum likelihood via high-dimensional Bayesian optimization (Valentin Breaz) |
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| 11:30 - 12:00 |
PhD talk #4 - Leveraging spatial regularity in distribution field estimation to accelerate statistical inference for the sciences (Athénaïs Gautier) |
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| 12:00 - 12:30 |
PhD talk #5 - Universal inversion: extending universal kriging to include trends in Bayesian inverse problems (Cédric Travelletti) |
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| 12:30 - 14:00 |
Lunch |
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| 14:00 - 15:30 |
PhD student talks #6-8 (Chairs: Daniel Straub, Maria Joan Rendas) |
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| 14:00 - 14:30 |
PhD talk #6 - When global sensitivity analysis provides insight into group fairness (Clément Bénesse) |
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| 14:30 - 15:00 |
PhD talk #7 - Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization (Sébastien Petit) |
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| 15:00 - 15:30 |
PhD talk #8 - Dynamical low rank approximation in molecular dynamics and optimal control (David Sommer) |
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| 15:30 - 15:45 |
15 min break |
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| 15:45 - 16:15 |
Poster blizz #1-P (Amphi Blaise Pascal) (Chair: Bertrand Iooss) |
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Supervised deep learning for stochastic lid-driven cavity flows (Fabio Musco) |
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Uncertainty analysis as an ally for deep-learning-based hybridization of simulation codes (Paul Novello) |
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Uncertainty quantification and multivariate functional data: an application to the supervised classification of augmented plane trajectories (Rémi Perrichon) |
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Uncertainty quantification in polysilicon-based MEMS: a representation learning comparison (Jose Pablo Quesada-Molina) |
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Dealing with confusing samples into learning based model applied to image classification (Jiarui Xie) |
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Comparing different methods of sensitivity analysis for computational modelling of magnesium-based implant biodegradation (Tamadur Albaraghtheh) |
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How do the soil, the vegetation and the weather affect the water content of a green roof? (Axelle Hégo) |
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Bayesian NVH metamodels to assess "pre-design" interior cabin noise using measurement databases (Vinay Prakash) |
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Damage detection and localization for SVI in floating-slab track: a domain adaptation-based method (Zhandong Yuan) |
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Statistical Parameter Calibration using Bayesian Inference applied to a Finite Element Model (Tizian Zeckey) |
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| 15:45 - 16:15 |
Poster blizz #1-V (Amphi Vinci) (Chair: Olivier Roustant) |
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Bayesian multi-objective optimization for quantitative risk assessment in microbiology (Subhasish Basak) |
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Shapley effect estimation in reliability-oriented sensitivity analysis with correlated inputs by importance sampling (Julien Demange-Chryst) |
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Multifidelity surrogate modelling with noisy grey-box models (Aikaterini Giannoukou) |
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Statistical methods for the study of computer experiments failures: application to a fuel-coolant interaction simulation code (Faouzi Hakimi) |
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Robust adaptation of the train speed for energy saving under punctuality and security constraints (Julien Nespoulous) |
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A novel strategy to surrogate the transient response of wind turbine simulations (Styfen Schär) |
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Sensitivity to statistical estimation uncertainties and probabilistic model identification (Charles Surget) |
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Sequential Bayesian inversion of black-box functions in presence of uncertainties (Romain Ait Abdelmalek-Lomenech) |
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A SUR version of the Bichon criterion for inversion (Clément Duhamel) |
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Supervised learning and Monte Carlo Markov Chain methods for inverse problem resolution in random neutronics (Paul Lartaud) |
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| 16:15 - 16:45 |
Coffee break |
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| 16:45 - 17:09 |
Poster blizz #2-P (Amphi Blaise Pascal) (Chair: Anthony Nouy) |
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A scalable benchmark for multidisciplinary design optimization under uncertainty (Amine Aziz Alaoui) |
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Deterministic optimisation in Deep Learning from a continuous and energetic point of view (Bilel Bensaid) |
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Mixture kriging on granular data (Marc Grossouvre) |
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Robustness assessment using quantile-constrained Wasserstein projections (Marouane Il Idrissi) |
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Auto-associative models, a generalized PCA (Valentin Pibernus) |
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Gaussian processes indexed by clouds of points: a study (Babacar Sow) |
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Transfer learning of statistical models on Riemannian manifolds (Tien Tam Tran) |
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Gaussian process based reachability analysis (Ke Wang) |
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| 16:45 - 17:12 |
Poster blizz #2-V (Amphi Vinci) (Chair: Clémentine Prieur) |
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Physics informed neural networks for inverse uncertainty quantification of material elastic properties on a simple 2D beam example (Damien Bonnet-Eymard) |
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Grey-box modelling for near-real time online monitoring of dynamic processes (Miriam Beatrice Dodt) |
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Physics-informed random fields. Application to kriging (Iain Henderson) |
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Adapted line sampling and neural networks for evaluating the info-gap robustness of reliability estimates for penstocks (Antoine Ajenjo) |
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Kriging adaptive learning for high dimensional reliability assessment with a variance-based learning and stopping criterion (Gabriele Capasso) |
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Adaptive importance sampling for reliability assessment of an industrial system modeled by a piecewise deterministic Markov process (Guillaume Chennetier) |
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Kernel-based sequential quadrature methods applied to offshore wind turbine damage estimation (Elias Fekhari) |
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Uncertainty quantification and global sensitivity analysis of seismic fragility curves using kriging (Clément Gauchy) |
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Improved cross entropy method with Bernoulli mixture model (Jianpeng Chan) |
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| 17:15 - 18:00 |
Presentation of the institutional sponsors (chair: Rodolphe Le Riche) |
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MASCOT-NUM research group (Anthony Nouy) |
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Université Franco-Allemande (Sandra Reuther) |
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Agence Maths Entreprise Société AMIES (Magalie Fredoc) |
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Fédération Maths Auvergne Rhône-Alpes MARA (Catherine Aaron) |
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| 18:00 - 18:45 |
Poster session (held in main lobby, ground floor) |
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| 18:30 - 19:30 |
Cocktail (next door to main lobby, ground floor) |
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| 20:15 - 22:45 |
Conference dinner (1st group) |
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