Author

Kristian Kersting

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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. · 1 citation

#machine learning Preprint Aug 2026

Reliable Fusion of Conflicting Experts

We study the problem of aggregating opinions from multiple black-box experts in noisy, conflict-prone settings where expert reliability varies across inputs. Static aggregation methods, such as majority voting, fail to capture this variability and often yield unreliable outcomes under disagreement. We propose a tractab...

Pranuthi Tenali, Sahil Sidheekh, Saurabh Mathur et al. · 0 citations