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Conditional score-based diffusion models for solving inverse elasticity problems
We propose a framework to perform Bayesian inference using conditional score-based
diffusion models to solve a class of inverse problems in mechanics involving the inference of …
diffusion models to solve a class of inverse problems in mechanics involving the inference of …
Bounded KRnet and its applications to density estimation and approximation
Conditional score-based generative models for solving physics-based inverse problems
We propose to sample from high-dimensional posterior distributions arising in physics-
based inverse problems using conditional score-based generative models. The proposed …
based inverse problems using conditional score-based generative models. The proposed …