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What is the long-run distribution of stochastic gradient descent? A large deviations analysis
ICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria. pp.1-70

Azizian Waïss, Iutzeler Franck, Malick Jérôme, Mertikopoulos Panayotis

Proportional marginal effects for global sensitivity analysis
SIAM/ASA Journal on Uncertainty Quantification, 2024, 12 (2), pp.667-692. ⟨10.1137/22M153032X⟩

Herin Margot, Il Idrissi Marouane, Chabridon Vincent, Iooss Bertrand

Dynamics of the Fifth Painlevé Foliation
Handbook of Geometry and Topology of Singularities VI: Foliations, Springer Nature Switzerland, pp.307-381, 2024, ⟨10.1007/978-3-031-54172-8_9⟩

Paul Emmanuel, Ramis Jean-Pierre

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024, Seattle, United States. pp.3574-3584

Mossina Luca, Dalmau Joseba, Andéol Léo

A decomposition theorem for $\mathbb Q$-Fano Kähler-Einstein varieties
Comptes Rendus. Mathématique, 2024, 362 (S1), pp.93-118. ⟨10.5802/crmath.612⟩

Druel Stéphane, Guenancia Henri, Păun Mihai

Large time behavior of finite difference schemes for the transport equation
XVI International Conference on Hyperbolic Problems: Theory, Numerics, Applications (HYP 2022), Jun 2022, Malaga, Spain. pp 63-71, ⟨10.1007/978-3-031-55264-9_6⟩

Coeuret Lucas

Topology of Singular Foliation Germs in $\mathbb {C}^2$
Handbook of Geometry and Topology of Singularities V: Foliations, V, Springer International Publishing, pp.169-222, 2024, Handbook of Geometry and Topology of Singularities V: Foliations, …

Marín David, Mattei Jean-François, Salem Eliane

Genetic Inference of Recent Fragmentation
Conservation genomics Paris 2024 (conservgenomics), Jun 2024, Paris, France

Tournebize Rémi, Boitard Simon, Mazet Olivier, Chikhi Lounès

How can we infer recent fragmentation using genetic data?
Conservation genomics Paris 2024 (conservgenomics), Jun 2024, Paris, France

Tournebize Rémi, Boitard Simon, Mazet Olivier, Chikhi Lounès

Inverse Problems for Shallow-Water Equations solved by Physics-Informed Machine Learning methods
ECCOMAS 2024 - 9th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2024, Lisbonne, Portugal

Boulenc Hugo, Bouclier Robin, Garambois Pierre-André, Monnier Jerome