Uncovering and Fixing Collider Bias in Bayesian PINNs.

arXiv:2610.11737v2 Announce Type: replace-cross Abstract: Bayesian physics-informed neural networks (B-PINNs) are a popular framework for parameter and state inference from sparse or noisy observations. They are commonly formulated via a collider structure, in