Author

Futoshi Futami

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#artificial intelligence Review Oct 2026

ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty

Evaluating model uncertainty on real-world data is challenging because each instance provides only a single observed label, leaving true conditional class probabilities unknown. To address this, we introduce ProbabilityBench, a benchmark that provides exact, instance-level class probabilities across three simulated tex...

Yu-Yang Dai, Yu-Ting Tang, Futoshi Futami et al. · 0 citations

#machine learning Preprint Sep 2026

Hierarchical Utility Calibration for Structured Multiclass Decisions

In multiclass probabilistic prediction, Utility Calibration (UC), which focuses auditing on specified utilities, has recently received attention as a way to guarantee downstream decisions while controlling computational and sample requirements. At the same time, some multiclass problems have meaningful label hierarchie...

Futoshi Futami, Jerry M. Huang, Ichiro Takeuchi · 0 citations