Publications

Scaling Laws for Uncertainty in Deep Learning

Published in Arxiv (preprint), 2025

Predictive uncertainties in deep learning follow scaling laws, showing that epistemic uncertainty persists even with large data.

Mattia Rosso, Simone Rossi, Giulio Franzese, Markus Heinonen, & Maurizio Filippone (2025). Scaling Laws for Uncertainty in Deep Learning.
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Gaussian Processes with Bayesian Inference of Covariate Couplings

Published in TMLR, 2025

Beyond ARD: a GP kernel that learns sparse and interpretable covariate couplings.

Gaussian Processes with Bayesian Inference of Covariate Couplings

Mattia Rosso, Juho Ylä-Jaäski, Zheyang Shen, Markus Heinonen, & Maurizio Filippone (2025). Gaussian Processes with Bayesian Inference of Covariate Couplings. Transactions on Machine Learning Research.
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