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cs.LG2026
TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification
Jérémie Stym-Popper, Clément Rambour, Federica Granese +2
Designing models that generalize effectively in low- to medium-data regimes remains a primary challenge in medical machine learning, particularly for physiological time-series clas…
cs.LG2026
Are Tabular Foundation Models Robust to Realistic Query Distribution Shifts in Microbiome Data?
Giulia Perciballi, Ahmad Fall, Federica Granese +2
Tabular foundation models (TFMs) achieve strong performance on microbiome abundance data, yet their robustness under realistic distribution shift remains poorly characterized. We i…