In prior work we have introduced an asymptotic threshold of sufficient
r...
We provide a rearrangement based algorithm for fast detection of subgrap...
Archetypal analysis is an unsupervised machine learning method that
summ...
For a regular polyhedron (or polygon) centered at the origin, the coordi...
We propose a novel framework for learning a low-dimensional representati...
We consider the optimization problem of maximizing the k-th Laplacian
ei...
In the ice-fishing problem, a half-space of fluid lies below an infinite...
Archetypal analysis is an unsupervised learning method for exploratory d...
Spurious association arises from covariance between propensity for the
t...
Certain neural network architectures, in the infinite-layer limit, lead ...
Archetypal analysis is an unsupervised learning method that uses a conve...
The shortest-path, commute time, and diffusion distances on undirected g...
Semi-supervised and unsupervised machine learning methods often rely on
...
When studying the causal effect of x on y, researchers may conduct
regre...
Streamline-based quad meshing algorithms use smooth cross fields to part...
A Dirichlet k-partition of a closed d-dimensional surface is a collectio...
We consider the problem of finding stationary points of the Dirichlet en...
As a generalization of the use of graphs to describe pairwise interactio...
A Dirichlet k-partition of a domain U ⊆R^d is a
collection of k pairwise...
A generalization of vector fields, referred to as N-direction fields or
...
Crowdsourcing platforms are now extensively used for conducting subjecti...
Motivated by a geometric problem, we introduce a new non-convex graph
pa...
Given a graph where vertices represent alternatives and arcs represent
p...