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Francesco BONALDI27/05/2026 14:00
In this talk, we focus on the modeling and simulation of large-strain (hyperelastic) elasticity problems, with particular application to the study of soft biological tissues. We also consider frictional contact between two hyperelastic bodies, with application to the deployment of a stent in an arterial tissue. For the numerical approximation, the key idea is to design a time integration...
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27/05/2026 15:00
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David JORDAN27/05/2026 16:30
The past four decades have witnessed a vibrant and profound dialog between mathematics and quantum physics. The fundamental driving challenge here is how to reconcile the rigid algebraic structures of quantum physics with the geometric fluidity of relativistic spacetime. It turns out that such questions, and their as yet woefully incomplete answers, are as illuminating within pure...
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28/05/2026 09:00
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Ilias FTOUHI28/05/2026 09:50
We consider the shape optimization problem of looking for the shape that maximizes the maximal norm of the gradient of the torsion function among planar convex sets with a prescribed measure (or perimeter). We prove the existence of such a shape and prove that its boundary is C^1 regular. Then, we show that its boundary contains a segment. The proofs are mainly based on probabilistic arguments...
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Aude RONDEPIERRE28/05/2026 11:00
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Benjamin CHARLIER28/05/2026 14:00
Abstract: Advances in spatial omics sequencing now enable acquisition of massive subcellular-scale datasets (millions of reads with hundreds of detectable genes). However, heterogeneity in measured features, spatial resolution, and physical sampling scope across technologies and experimental protocols introduces significant challenges for integrating these datasets within reference coordinate...
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28/05/2026 14:50
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David METIVIER28/05/2026 16:00
Forecasting the future state of a dynamical system from observed time series is a central problem across science and engineering.
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Classical autoregressive models offer simplicity and interpretability but struggle with complex nonlinear dynamics.
Deep learning architectures such as Recurrent Neural Networks overcome this limitation yet offer no physical guarantees, leading to unphysical... -
Abdelaati DAOUIA29/05/2026 09:00
Studying rare events at the heavy tails of conditional Pareto-type distributions, in the presence of high-dimensional covariates, is a burgeoning science with many applications in actuarial, financial and environmental risk management. The most prominent risk measures to quantify these events utilize conditional quantiles, Expected Shortfall, and expectiles at extreme levels. The few attempts...
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Agnès LAGNOUX29/05/2026 09:50
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Rémi SERVIEN29/05/2026 11:00
Biathlon is an Olympic sport combining cross-country skiing with rifle shooting, giving a penalty for each target miss. The biathletes ran different race formats, including the pursuit race. During this race, the biathletes chase the leader with a start time identical to the result of the sprint race previously achieved. So, pursuit involves different skills (such as tactics or management of...
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