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cs.LG2026
Statistical-Neural Interaction Networks for Interpretable Mixed-Type Data Imputation
Ou Deng, Shoji Nishimura, Atsushi Ogihara +1
Real-world tabular databases routinely combine continuous measurements and categorical records, yet missing entries are pervasive and can distort downstream analysis. We propose St…
cs.LG2025
Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators
Ou Deng, Ruichen Cong, Jianting Xu +3
AI for health will only scale when models are not only accurate but also readable, auditable, and governable. Many clinical and public-health decisions hinge on numeric thresholds…
cs.LG2024
Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
Ou Deng, Shoji Nishimura, Atsushi Ogihara +1
This study proposes Evolutionary Causal Discovery (ECD) for causal discovery that tailors response variables, predictor variables, and corresponding operators to research datasets.…