Publications

• Armand Kassaï Koupaï, Jorge Mifsut Benet , Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari. “GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning”. The 38th Annual Conference on Neural Information Processing Systems, NeurIPS (2024). arXiv:2410.23889

• (Master’s Thesis): Jorge Mifsut Benet , supervised by Jonathan C. Tan, “Machine Learning for Protostellar Image Fitting. A Convolutional Neural Network Approach” (2023) Chalmers University of Technology http://hdl.handle.net/20.500.12380/306675

• Vicente Arnau, Wladimiro Díaz-Villanueva, Jorge Mifsut Benet ,Paula Villasante,Beatriz Beamud, Paula Mompó, Rafael Sanjuan, Fernando González-Candelas, Pilar Domingo-Calap, and Mária Džunková. “Inference of the Life Cycle of Environmental Phages from Genomic Signature Distances to Their Hosts”. In: Viruses 15.5 (2023). issn: 1999-4915. doi: https://doi.org/10.3390/v15051196. url: https://www.mdpi.com/1999-4915/15/5/1196.