Raffaele Romagnoli

Neural Spline Operators for Risk Quantification in Stochastic Systems

2025 · arXiv (Cornell University)

Accurately quantifying long-term risk probabilities in diverse stochastic systems is essential for safety-critical control. However, existing sampling-based and partial differential equation (PDE)-based methods often struggle to handle complex varying dynamics. Physics-informed neural networks learn surrogate …