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Huchen Yang

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#machine learning Open access Apr 2025

Bayesian Experimental Design for Model Discrepancy Calibration: An Auto-Differentiable Ensemble Kalman Inversion Approach

This work clarifies the trade-offs between KL divergence and Wasserstein metrics for the utility function and provides guidelines for selecting suitable criteria in practical BED applications.

Huchen Yang, Xinghao Dong, Jin-Long Wu · Journal of Computational Phy... · 3 citations