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stat.ML2025
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
Ali Mohammad-Djafari, Ning Chu, Li Wang
Inverse problems arise across scientific and engineering domains, where the goal is to infer hidden parameters or physical fields from indirect and noisy observations. Classical ap…
stat.ML2023
Deep Learning and Bayesian inference for Inverse Problems
Ali Mohammad-Djafari, Ning Chu, Li Wang +1
Inverse problems arise anywhere we have indirect measurement. As, in general they are ill-posed, to obtain satisfactory solutions for them needs prior knowledge. Classically, diffe…