Preprint
Aug 2026
Tydra: An Efficient Hybrid Model for Tabular Data
Tydra is introduced, a hybrid Transformer-State Space Model (SSM) architecture for tabular in-context learning that interleaves attention and SSM layers that reduces inference time by 30% relative to TabPFN while retaining much of its predictive performance.
Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus et al.
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