3 papers
cs.LG2026
Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver
Pietro Sittoni, Emanuele Zangrando, Angelo A. Casulli +2
Deep learning-based methods have shown remarkable effectiveness in solving PDEs, largely due to their ability to enable fast simulations once trained. However, despite the availabi…
cs.LG2025
Algebraformer: A Neural Approach to Linear Systems
Pietro Sittoni, Francesco Tudisco
Recent work in deep learning has opened new possibilities for solving classical algorithmic tasks using end-to-end learned models. In this work, we investigate the fundamental task…
astro-ph.SR2024
Solaris: A Foundation Model of the Sun
Harris Abdul Majid, Pietro Sittoni, Francesco Tudisco
Foundation models have demonstrated remarkable success across various scientific domains, motivating our exploration of their potential in solar physics. In this paper, we present…