Tatiana Pieloni

Calibrated uncertainty quantification in deep scientific surrogates no longer requires expensive outer-loop sweeps: embedding empirical Bayes directly into heteroscedastic neural Gaussian processes delivers calibrated predictions at dramatically reduced compute.