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Maximilian Schambach

2 accepted papers

2025

ConTextTab: A Semantics-Aware Tabular In-Context Learner

NeurIPS 2025spotlight

Tabular in-context learning (ICL) has recently achieved state-of-the-art (SOTA) performance on several tabular prediction tasks. Previously restricted to classification problems on small tables, recent advances such as TabPFN and TabICL have extended its use to larger datasets. Although current tabl…

Cited by 0SourcecodeScholar
2023

Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models

NeurIPS 2023poster

Generalized Additive Models (GAMs) have recently experienced a resurgence in popularity due to their interpretability, which arises from expressing the target value as a sum of non-linear transformations of the features. Despite the current enthusiasm for GAMs, their susceptibility to concurvity — i…