Author

G. Marraffini

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#artificial intelligence Preprint Sep 2026

Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders

Self-supervised pretraining reshaped prediction in language and vision, and brain foundation models (BFMs) inherited its promise. Representations learned from large unlabelled corpora should capture individual functional dynamics and generalise across cohorts. However, kernel ridge regression (KRR) fitted on functional...

G. Marraffini, Victoria Shevchenko, Carlo Alberto Barbano et al. · 0 citations

#machine learning Sep 2025

The Platonic Universe: Do Foundation Models See the Same Sky?

The results support the ARH over the strict PRH, demonstrate astronomy's value as an experimental framework for neural representation learning, and suggest that astro-foundation models can build on general-purpose pre-trained architectures, capitalizing on the broader open machine learning community's already-spent com...

UniverseTBD Trinidad Borrell, S. Dillmann, Kshitij Duraphe et al. · arXiv.org · 6 citations