Deep kernel learning is extended to line-integral observations; a Hilbert space basis expansion turns the costly 2D integrals into 1D integrals, and neural-network pre-training stabilizes joint training.
Accessed: 2019-04-20
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Deep kernel learning for integral measurements
Deep kernel learning is extended to line-integral observations; a Hilbert space basis expansion turns the costly 2D integrals into 1D integrals, and neural-network pre-training stabilizes joint training.