2 papers
stat.ML2026
Bayesian PINNs for uncertainty-aware inverse problems (BPINN-IP)
Ali Mohammad-Djafari
The main contribution of this paper is to develop a hierarchical Bayesian formulation of PINNs for linear inverse problems, which is called BPINN-IP. The proposed methodology exten…
cs.LG2025
Bayesian Physics Informed Neural Networks for Linear Inverse problems
Ali Mohammad-Djafari
Inverse problems arise almost everywhere in science and engineering where we need to infer on a quantity from indirect observation. The cases of medical, biomedical, and industrial…