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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.ML2023★ 8 cited
Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems
Lu Yang, Xiuwen Sun, Boumediene Hamzi +2
Regressing the vector field of a dynamical system from a finite number of observed states is a natural way to learn surrogate models for such systems. A simple and interpretable wa…