A symmetry-aware neural architecture learns Vecchia-based covariance kernels for Gaussian processes, enabling scalable non-stationary kernel learning.
Advances in Neural Information Processing Systems (NeurIPS) , volume=
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Permutation-preserving Functions and Neural Vecchia Covariance Kernels
A symmetry-aware neural architecture learns Vecchia-based covariance kernels for Gaussian processes, enabling scalable non-stationary kernel learning.