activity
20022026
most citedGeometric triangulations and discrete Laplacians on manifolds

62 citations · 114 across the 18 of their papers we have counts for

collaborators

22 papers

math.HO2026

Mathematics Graduate Training in the Age of AI

David Glickenstein

Generative AI changes the conditions under which graduate mathematics is learned, assessed, written, and defended. The central claim of this paper is that mathematics graduate prog…

math.DG2025

Convergence of discrete conformal mappings on surfaces

David Glickenstein, Lee Sidbury

Discrete conformal mappings based on circle packing, vertex scaling, and related structures has had significant activity since Thurston proposed circle packing as a way to approxim…

cs.LG2023★ 1 cited

An Exact Kernel Equivalence for Finite Classification Models

Brian Bell, Michael Geyer, David Glickenstein +2

We explore the equivalence between neural networks and kernel methods by deriving the first exact representation of any finite-size parametric classification model trained with gra…

math.DG2021

Determinant of the finite volume Laplacian

Thomas Doehrman, David Glickenstein

The finite volume Laplacian can be defined in all dimensions and is a natural way to approximate the operator on a simplicial mesh. In the most general setting, its definition with…

cs.DS2018★ 9 cited

Multi-Level Steiner Trees

Reyan Ahmed, Patrizio Angelini, Faryad Darabi Sahneh +8

In the classical Steiner tree problem, given an undirected, connected graph with non-negative edge costs and a set of \emph{terminals} , the objective is to…

math.DG2017

A bug's eye view: the Riemannian exponential map on polyhedral surfaces

David Glickenstein

We explore the perspective of a bug living on the two-dimensional surface of a polyhedron. Images of various kinds of effects like lensing and cloaking are shown via color pictures…