Koopman-Based Generalization Bounds in Multi-Task Deep Learning

This ArXiv paper explores the theoretical underpinnings of generalization in multi-task deep learning, leveraging the Koopman operator. Understanding generalization is crucial for the reliability and applicability of these models across diverse tasks.