Author

Saurabh Mathur

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Preprint Aug 2026

Tydra: An Efficient Hybrid Model for Tabular Data

Transformer-based tabular foundation models such as TabPFN achieve strong predictive performance but incur quadratic computational cost with context length. On the other hand, subquadratic SSM-based alternatives such as Hydra trade away accuracy for efficiency. To balance both, we introduce Tydra, a hybrid Transformer-...

Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus et al. · 0 citations

#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