24 citations · 39 across the 3 of their papers we have counts for
3 papers
Planar percolation and the loop O(n) model
Alexander Glazman, Matan Harel, Nathan Zelesko
We show that a large class of site percolation processes on any planar graph contains either zero or infinitely many infinite connected components. The assumptions that we require…
Manifold learning with arbitrary norms
Joe Kileel, Amit Moscovich, Nathan Zelesko +1
Manifold learning methods play a prominent role in nonlinear dimensionality reduction and other tasks involving high-dimensional data sets with low intrinsic dimensionality. Many o…
Earthmover-based manifold learning for analyzing molecular conformation spaces
Nathan Zelesko, Amit Moscovich, Joe Kileel +1
In this paper, we propose a novel approach for manifold learning that combines the Earthmover's distance (EMD) with the diffusion maps method for dimensionality reduction. We demon…