Michele Lombardi

Constrained Machine Learning Through Hyperspherical Representation

2025 · arXiv (Cornell University)

The problem of ensuring constraints satisfaction on the output of machine learning models is critical for many applications, especially in safety-critical domains. Modern approaches rely on penalty-based methods at training time, which do not guarantee …