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20242026
most citedA Practitioner's Guide to Kolmogorov-Arnold Networks

8 citations · 8 across the 3 of their papers we have counts for

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6 papers · 1 filter

math.NA2026

Minimum-norm interpolation for unknown surface reconstruction

Alex Shiu Lun Chu, Leevan Ling, Ka Chun Cheung

We study algorithms to estimate geometric properties of raw point cloud data through implicit surface representations. Given that any level-set function with a constant level set c…

math.NA2026

An Adaptive Lagrangian B-Spline Framework for Point Cloud Manifold Evolution

Muhammad Ammad, Leevan Ling

We extend our recent curve-evolution framework based on localized B-spline interpolation to present an adaptive Lagrangian framework for the geometric evolution of point-cloud data…

math.NA2026

B-spline-Based ALE-MFS Framework for Evolving Domains

Muhammad Ammad, Leevan Ling, Shu Ma

We develop and analyze a B-spline based arbitrary Lagrangian-Eulerian method of fundamental solutions (ALE-MFS) for curvature-driven motion of two-dimensional evolving domains. Bou…

math.NA2025

Sobolev Algorithm for Local Smoothness Analysis (SALSA) via Sharp Direct and Inverse Statements

Sara Avesani, Leevan Ling, Francesco Marchetti +1

We extend sharp direct and inverse approximation statements for kernel-based methods for finitely smooth kernels, i.e. those whose native spaces are norm-equivalent to Sobolev spac…

math.NA2025

Efficient manifold evolution algorithm using adaptive B-Spline interpolation

Muhammad Ammad, Leevan Ling

This paper explores an efficient Lagrangian approach for evolving point cloud data on smooth manifolds. In this preliminary study, we focus on analyzing plane curves, and our ultim…

math.NA2024

Greedy Trial Subspace Selection in Meshfree Time-Stepping Scheme with Applications in Coupled Bulk-Surface Pattern Formations

Yichen Su, Leevan Ling

Combining kernel-based collocation methods with time-stepping methods to solve parabolic partial differential equations can potentially introduce challenges in balancing temporal a…