41 citations · 43 across the 4 of their papers we have counts for
4 papers
The Problem with Metrics is a Fundamental Problem for AI
Rachel Thomas, David Uminsky
Optimizing a given metric is a central aspect of most current AI approaches, yet overemphasizing metrics leads to manipulation, gaming, a myopic focus on short-term goals, and othe…
Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning
Paul Samuel Ignacio, David Uminsky, Christopher Dunstan +2
Atrial Fibrillation is a heart condition characterized by erratic heart rhythms caused by chaotic propagation of electrical impulses in the atria, leading to numerous health compli…
A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs
Jackson Abascal, Amadou Bah, Mario Banuelos +2
We present a new method for generating an orthogonal basis of eigenvectors for the Johnson graph . Unlike standard methods for computing a full eige…
Convergence of a Steepest Descent Algorithm for Ratio Cut Clustering
Xavier Bresson, Thomas Laurent, David Uminsky +1
Unsupervised clustering of scattered, noisy and high-dimensional data points is an important and difficult problem. Tight continuous relaxations of balanced cut problems have recen…