Variational inference for nonlinear inverse problems via neural net kernels Comparison to Bayesian neural networks, application to topology optimization
V Keshavarzzadeh, RM Kirby, A Narayan - Computer Methods in Applied …, 2022 - Elsevier
… The most important part of our simulation-based inference is indeed solving these nonlinear constraints for m ( i ) . (3) Once the optimal centers are found, they could be plugged into the …
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… The most important part of our simulation-based inference is indeed solving these nonlinear constraints for m ( i ) . (3) Once the optimal centers are found, they could be plugged into the …