Dernières publications

5197 documents

  • Raphaël Côte, Radu Ignat, Stefan Le Coz, Mihai Mariş, Vincent Millot, et al.. Report of the ANR project « Mathematical Analysis of Topological Singularities in some physical problems » (MAToS), 2015-2019. Institut de Mathématiques de Toulouse & Institut Universitaire de France, UMR 5219, Université de Toulouse, CNRS, UPS IMT. 2024. ⟨hal-04855491⟩
  • Pascal Auscher, Hedong Hou. On well-posedness and maximal regularity for parabolic Cauchy problems on weighted tent spaces. Journal of Evolution Equations, 2024, 25, ⟨10.1007/s00028-024-01041-x⟩. ⟨hal-04276113v2⟩
  • Michel Bonnefont, Aldéric Joulin. A NOTE ON THE SPECTRAL GAP FOR LOG-CONCAVE PROBABILITY MEASURES ON CONVEX BODIES. International Mathematics Research Notices, 2024, 2024 (24), pp.14704-14728. ⟨10.1093/imrn/rnae256⟩. ⟨hal-03979877v2⟩
  • Lukasz Krzywiecki, Tadeusz Kulczycki, Christian Nteranya, Andrzej Stos. Detectable Mislabeling – Can Faulty AI Models be Recognized from Incomplete Memory Traces?. TrustCom 2024, IEEE, Dec 2024, Sanya, China. ⟨hal-04915672⟩
  • Belhassen Dehman, Sylvain Ervedoza, Lotfi Thabouti. $L^p$ Carleman estimates for elliptic boundary value problems and applications to the quantification of unique continuation. Annales Henri Lebesgue, 2024, 7. ⟨hal-04148255v2⟩
  • Diego Chamorro, Anca-Nicoleta Marcoci, Liviu-Gabriel Marcoci. A new pointwise inequality for rough operators and applications. 2024. ⟨hal-04708051v2⟩
  • Richard Monvoisin, Didier Piau, Marine Paucsik, Gwladys Demazure, Blandine Legavre. Straight from the horse’s mouth? A literature review and a randomized controlled trial of intuitive animal communication. 2024. ⟨hal-04835072v6⟩
  • François Berteloot, Xavier Buff. On the stability of holomorphic families of endomorphisms of $P^k$. 2024. ⟨hal-04832065⟩
  • Vladimir Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Pietro Novelli, et al.. Laplace transform based low-complexity learning of continuous Markov semigroups. The Thirty-Eighth Annual Conference on Neural Information Processing Systems(NeurIPS), Dec 2024, Vancouver, Canada. ⟨10.48550/arXiv.2410.14477⟩. ⟨hal-04904839⟩
  • 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⟩