Koopman-Based Generalization Bounds in Multi-Task Deep Learning
Published:Dec 22, 2025 09:36
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The paper studies generalization bounds.”