1 citations · 1 across the 2 of their papers we have counts for
7 papers
How can classical multidimensional scaling go wrong?
Rishi Sonthalia, Gregory Van Buskirk, Benjamin Raichel +1
Given a matrix describing the pairwise dissimilarities of a data set, a common task is to embed the data points into Euclidean space. The classical multidimensional scaling (cM…
An Analysis of COVID-19 Knowledge Graph Construction and Applications
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang +5
The construction and application of knowledge graphs have seen a rapid increase across many disciplines in recent years. Additionally, the problem of uncovering relationships betwe…
Dual Regularized Optimal Transport
Rishi Sonthalia, Anna C. Gilbert
In this paper, we present a new formulation of unbalanced optimal transport called Dual Regularized Optimal Transport (DROT). We argue that regularizing the dual formulation of opt…
Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding
Rishi Sonthalia, Anna C. Gilbert
Given data, finding a faithful low-dimensional hyperbolic embedding of the data is a key method by which we can extract hierarchical information or learn representative geometric f…
Generalized Metric Repair on Graphs
Chenglin Fan, Anna C. Gilbert, Benjamin Raichel +2
Many modern data analysis algorithms either assume or are considerably more efficient if the distances between the data points satisfy a metric. These algorithms include metric lea…
Generalized Metric Repair on Graphs
Anna C. Gilbert, Rishi Sonthalia
Many modern data analysis algorithms either assume that or are considerably more efficient if the distances between the data points satisfy a metric. These algorithms include metri…