Jérémy Briant, Paul Mycek, Mayeul Destouches, Olivier Goux, Serge Gratton, et al.. A filtered multilevel Monte Carlo method for estimating the expectation of cell-centered discretized random fields. 2024. ⟨hal-04337114v2⟩

Justin Loye, Sandrine Mouysset, Katia Jaffrès-Runser. Emergence of Nestedness in the Public Internet Peering Ecosystem. Proceedings of Complex Networks 2024, Dec 2024, Istanbul, Turkey. ⟨hal-04733587⟩

Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, et al.. Combining Statistical Depth and Fermat Distance for Uncertainty Quantification. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Dec 2024, Vancouver, Canada. ⟨hal-04851165⟩

Alfredo Buttari, Nicholas J Higham, Théo Mary, Bastien Vieublé. A modular framework for the backward error analysis of GMRES. 2024. ⟨hal-04525918v2⟩

Isabelle Blanc, Pierre Boulet, Guy Courbebaisse, Michel Daydé, Sébastien Gérard, et al.. Production et valorisation des logiciels issus de la recherche publique française. Comité pour la science ouverte. 2024. ⟨hal-04844037⟩

Olivier Cots, Rémy Dutto, Sophie Jan, Serge Laporte. Geometric preconditioner for indirect shooting and application to hybrid vehicle. 4th IFAC Conference of Modelling, Identification and Control of Nonlinear Systems, Sep 2024, Lyon, France. ⟨hal-04473962v2⟩

Victorita Dolean, Serge Gratton, Alexander Heinlein, Valentin Mercier. Two-level deep domain decomposition method. 2024. ⟨hal-04669699⟩

Théo Beuzeville, Alfredo Buttari, Serge Gratton, Theo Mary. Deterministic and probabilistic backward error analysis of neural networks in floating-point arithmetic. 2024. ⟨hal-04663142⟩

Jules Morata, David Bernard, Kevin Cortacero, Clément Eloire, Mehdi Ech-Chouini, et al.. Seadra : a fully customizable and user-friendly application for image annotation and segmentation. 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), Jun 2024, Guadalajara, France. pp.473-476, ⟨10.1109/CBMS61543.2024.00084⟩. ⟨hal-04736268⟩

Théo Beuzeville. Backward error analysis of artificial neural networks with applications to floating-point computations and adversarial attacks. Computer Science [cs]. Université de Toulouse, 2024. English. ⟨NNT : 2024TLSEP054⟩. ⟨tel-04622129⟩