3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 3 cited
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach
Daniel Lengyel, Panos Parpas, Boumediene Hamzi +1
This paper examines the application of the Kernel Sum of Squares (KSOS) method for enhancing kernel learning from data, particularly in the context of dynamical systems. Traditiona…
math.NA2023★ 1 cited
Curvature Aligned Simplex Gradient: Principled Sample Set Construction For Numerical Differentiation
Daniel Lengyel, Panos Parpas, Nikolas Kantas +1
The simplex gradient, a popular numerical differentiation method due to its flexibility, lacks a principled method by which to construct the sample set, specifically the location o…