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publications
Gaussian Processes with Bayesian Inference of Covariate Couplings
Published in TMLR, 2025
Beyond ARD: a GP kernel that learns sparse and interpretable 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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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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summaries
Position: LLMs Can’t Jump
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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