3 papers
stat.ML2025
The Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
Yichen Wang, Yudong Chen, Lorenzo Rosasco +1
Understanding how the test risk scales with model complexity is a central question in machine learning. Classical theory is challenged by the learning curves observed for large ove…
physics.comp-ph2025
Fast and Fourier Features for Transfer Learning of Interatomic Potentials
Pietro Novelli, Giacomo Meanti, Pedro J. Buigues +4
Training machine learning interatomic potentials that are both computationally and data-efficient is a key challenge for enabling their routine use in atomistic simulations. To thi…
cs.LG2025
Towards a Learning Theory of Representation Alignment
Francesco Insulla, Shuo Huang, Lorenzo Rosasco
It has recently been argued that AI models' representations are becoming aligned as their scale and performance increase. Empirical analyses have been designed to support this idea…