Some opacity in black hole imaging methods is compatible with reliable inference under specified conditions, but GRMHD models of Sgr A* exhibit problematic opacity that signals model limitations.
Canadian Journal of Philosophy , author=
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Neural network learning opacity stems from three dynamical complexity properties in training, rendering some sources of opacity irreducible.
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Black Boxes in Black Hole Imaging
Some opacity in black hole imaging methods is compatible with reliable inference under specified conditions, but GRMHD models of Sgr A* exhibit problematic opacity that signals model limitations.
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How Complexity Contributes to Learning Opacity in Machine Learning
Neural network learning opacity stems from three dynamical complexity properties in training, rendering some sources of opacity irreducible.