28 757

34 926

• 
  Angela Riva, Alain Sarlette, Pierre Rouchon. Explicit formulas for adiabatic elimination with fast unitary dynamics. CDC 2024 - IEEE Conference on Decision and Control, IEEE-CSS, Dec 2024, Milan, Italy. ⟨hal-04530303⟩
• 
  Frédéric Choulet, Xi Wang, Manuel Spannagl, David Swarbreck, Hélène Rimbert, et al.. Structural and Functional Annotation of the Wheat Genome. Rudi Appels, Kellye Eversole, Catherine Feuillet, Dusti Gallagher. The Wheat Genome, Springer International Publishing, pp.51-73, 2024, Compendium of Plant Genomes, ⟨10.1007/978-3-031-38294-9_4⟩. ⟨hal-04297331⟩
• 
  Salomon Ofman. La leçon mathématique de Théodore (Théétète, 147c7-d6) I Mais que dessine donc Théodore ? II Les démonstrations d'irrationalité de Théodore. 2024. ⟨hal-04422796⟩
• 
  Neha Rino, Mohammed Foughali, Eugene Asarin. Efficiently Computable Distance-Based Robustness for a Practical Fragment of STL. Joint International Conference on Quantitative Evaluation of SysTems & nternational Conference on Formal Modeling and Analysis of Timed Systems (QEST+FORMATS), Sep 2024, Calgary, Canada. ⟨hal-04622387⟩
• 
  David Rubin, Olivier Rozier, Clément Narteau, Sylvain Courrech Du Pont. Simulations of dune morphology under tri-directional wind regimes and application to dunes on Mars. Aeolian Research, 2024, 67-69, pp.100922. ⟨10.1016/j.aeolia.2024.100922⟩. ⟨hal-04584358⟩
• 
  David Coudert, Mónika Csikós, Guillaume Ducoffe, Laurent Viennot. Practical Computation of Graph VC-Dimension. SEA 2024 - Symposium on Experimental Algorithms, Jul 2024, Vienne, Austria. ⟨hal-04553784⟩
• 
  Mohammed Foughali, Marius Mikučionis, Maryline Zhang. Scalable Computation of Inter-Core Bounds Through Exact Abstractions. International Conference on Computers, Software, and Applications (COMPSAC), Jul 2024, Osaka, Japan. ⟨hal-04571414v2⟩
• 
  Pierre Garcia, Théo Archambault, Hannah Bull, Anastase Charantonis, Dominique Béréziat. Transfer-learning and data fusion for forecasting ocean surface currents. RFIAP 2024, Jul 2024, Lille, France. ⟨hal-04594549⟩
• 
  Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer. Physics-informed machine learning as a kernel method. Proceedings of Thirty Seventh Conference on Learning Theory, Proceedings of Machine Learning Research, 247, pp.1399-1450, 2024. ⟨hal-04447750v2⟩
• 
  Dana Bartošová, Mirna Džamonja, Rehana Patel, Lynn Scow. Big Ramsey degrees in ultraproducts of finite structures. Annals of Pure and Applied Logic, 2024, 175 (7), pp.103439. ⟨10.1016/j.apal.2024.103439⟩. ⟨hal-04600079⟩