Characterizing the Separability Gap in Prior-Data Fitted Networks
cs.LG, stat.ML
Submitted: 2026-10-10
Updated: 2026-10-10
Project page: https://christophm.github.io/interpretable-ml-book
Sources
- Neural Processes
- ScoringBench: A Benchmark for Evaluating Tabular Foundation Models with Proper Scoring Rules
- Bayes' Power for Explaining In-Context Learning Generalizations
- Beyond IID: How General Are Tabular Foundation Models, Really?
- SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
- LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
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