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Figure 6
Negative cross-validation log likelihood reduction during hyperparameter optimization for the simulated grain presented in Figs. 4 and 5 . Optimization was conducted using the L-BFGS-B algorithm as implemented in SciPy with a maximum of ten line-search steps per iteration. Gradients were computed using automatic differentiation as implemented in PyTorch. |
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