Energy Score-Guided Neural Gaussian Mixture Model for Predictive Uncertainty Quantification
arXiv:2603.27672v1 Announce Type: cross
Abstract: Quantifying predictive uncertainty is essential for real world machine learning applications, especially in scenarios requiring reliable and interpretable predictions. Many common parametric approaches…