The Signature Kernel
2023-05-08Code Available1· sign in to hype
Darrick Lee, Harald Oberhauser
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- github.com/crispitagorico/sigkernelOfficialIn paperpytorch★ 61
- github.com/tgcsaba/ksigOfficialIn papertf★ 51
Abstract
The signature kernel is a positive definite kernel for sequential data. It inherits theoretical guarantees from stochastic analysis, has efficient algorithms for computation, and shows strong empirical performance. In this short survey paper for a forthcoming Springer handbook, we give an elementary introduction to the signature kernel and highlight these theoretical and computational properties.