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cs.LG2026
TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables
Jules Kreuer, Sofiane Ouaari, Julia Hellmig +2
Biomedical tables often combine thousands of measured variables with only tens or hundreds of labelled samples, a regime that is poorly represented in general-purpose tabular bench…
cs.LG2025
TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
Christopher Kolberg, Jules Kreuer, Jonas Huurdeman +3
Revealing novel insights from the relationship between molecular measurements and pathology remains a very impactful application of machine learning in biomedicine. Data in this do…
cs.LG2024
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
Cem Ata Baykara, Ali Burak Ünal, Nico Pfeifer +1
Machine learning models often struggle with generalization in small, heterogeneous datasets due to domain shifts caused by variations in data collection and population differences.…