3 papers
cs.LG2026
Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
Jonas Landsgesell, Pascal Knoll, Tizian Wenzel
Modern tabular foundation models such as TabPFN and TabICL naturally produce full predictive distributions, while the benchmarks used to evaluate them (TabArena, TALENT, and others…
cs.AI2026
ScoringBench: A Benchmark for Evaluating Tabular Foundation Models with Proper Scoring Rules
Jonas Landsgesell, Pascal Knoll, Tizian Wenzel
Tabular foundation models such as TabPFN and TabICL already produce full predictive distributions, yet prevailing regression benchmarks evaluate them almost exclusively via point-e…
cond-mat.soft2026
Joint Optimization of Neural Autoregressors via Scoring rules
Jonas Landsgesell
Non-parametric distributional regression has achieved significant milestones in recent years. Among these, the Tabular Prior-Data Fitted Network (TabPFN) has demonstrated state-of-…