Supplement: Single Model Uncertainty Estimation via Stochastic Data CenteringAPPENDIX A Derivation for shifted training on NTK

We continue the derivation from the main here in more detail. It has been shown that (c.f. Where we utilize Woodbury's Identity [ ''' model: network trained with anchoring anchors: set of randomly chosen anchors (ideally from train dist.) B.2 ImageNet-C corruptions for OOD and Calibration Table 1 lists the set of corruptions used to construct the ImageNet-C benchmark. For each case, we show the negative log-likelihood for the test data obtained using each of the methods.