# TabOmics

TabOmics is an open tabular foundation model with 7.3M parameters, pretrained only on synthetic tables, that processes all features retained after preprocessing jointly in a single forward pass instead of subsampling or compressing them. Across 46 classification tasks from three high-dimensional, low-sample-size benchmarks, the eight-member TabOmics v2.5 reaches a mean AUROC of 0.943, above 0.942 for eight-member TabPFN-3.5; the single-member version reaches 0.941 with no significant paired difference, at roughly five times the runtime per forward pass.

TabOmics is an open tabular foundation model with 7.3M parameters, pretrained only on synthetic tables, that processes all features retained after preprocessing jointly in a single forward pass instead of subsampling or compressing them. Across 46 classification tasks from three high-dimensional, low-sample-size benchmarks, the eight-member TabOmics v2.5 reaches a mean AUROC of 0.943, above 0.942 for eight-member TabPFN-3.5; the single-member version reaches 0.941 with no significant paired difference, at roughly five times the runtime per forward pass.