Author

Bogdan Oancea

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Open access Jul 2026

Knowledge Distillation Across Tasks and Model Families: A Comparative Simulation Study—Denoising, Dark Knowledge, and the Role of Model Capacity

A comparative simulation study of distillation in structured-data settings, where neural networks, tree ensembles, kernel methods, nearest-neighbor methods, and linear models are plausible competitors, shows that useful transfer requires teacher predictions that remain conditionally aligned with the inputs.

Bogdan Oancea · Electronics · 0 citations

#machine learning Preprint Aug 2026

Dynamic Regime-Aware Conformal Calibration for Reliable Economic Forecast Intervals under Multiple Distribution Shifts

The proposed Dynamic Regime-Aware Conformal Prediction (DRACP), which combines density-ratio, localized kernel and probabilistic regime-aware weighting with a self-tuning online significance controller in a unified weighted conformal calibration framework, provides the most reliable calibration.

Bogdan Oancea · 0 citations