2 papers
cs.LG2025
Some theoretical improvements on the tightness of PAC-Bayes risk certificates for neural networks
Diego GarcÃa-Pérez, Emilio Parrado-Hernández, John Shawe-Taylor
This paper presents four theoretical contributions that improve the usability of risk certificates for neural networks based on PAC-Bayes bounds. First, two bounds on the KL diverg…
cs.AI2025
Aligning Generalisation Between Humans and Machines
Filip Ilievski, Barbara Hammer, Frank van Harmelen +22
Recent advances in AI -- including generative approaches -- have resulted in technology that can support humans in scientific discovery and forming decisions, but may also disrupt…