arxiv
PublishedJuly 27, 2026 at 4:00 AM
—neutral
Scalable Gaussian process inference via neural feature maps
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arXiv:2605.10285v2 Announce Type: replace-cross Abstract: We present a theoretically grounded Gaussian process framework that leverages neural feature maps to construct expressive kernels. We show that the learned feature map can be interpreted as an optimal low-rank approximation to a Gram matrix d
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Originally published on arxiv ↗