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stat.ML2026
Adaptive Kernel Selection for Kernelized Diffusion Maps
Othmane Aboussaad, Adam Miraoui, Boumediene Hamzi +1
Selecting an appropriate kernel is a central challenge in kernel-based spectral methods. In \emph{Kernelized Diffusion Maps} (KDM), the kernel determines the accuracy of the RKHS e…
stat.ML2024
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series
Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi +1
A simple and interpretable way to learn a dynamical system from data is to interpolate its vector-field with a kernel. In particular, this strategy is highly efficient (both in ter…