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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…
cs.LG2024
Subhomogeneous Deep Equilibrium Models
Pietro Sittoni, Francesco Tudisco
Implicit-depth neural networks have grown as powerful alternatives to traditional networks in various applications in recent years. However, these models often lack guarantees of e…