2 citations · 3 across the 3 of their papers we have counts for
4 papers
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
Michal Gerasimiuk, Dennis Shung, Alexander Tong +6
A major challenge in embedding or visualizing clinical patient data is the heterogeneity of variable types including continuous lab values, categorical diagnostic codes, as well as…
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance
Alexander Tong, Guillaume Huguet, Dennis Shung +5
In modern relational machine learning it is common to encounter large graphs that arise via interactions or similarities between observations in many domains. Further, in many case…
Multimodal Data Visualization and Denoising with Integrated Diffusion
Manik Kuchroo, Abhinav Godavarthi, Alexander Tong +2
We propose a method called integrated diffusion for combining multimodal datasets, or data gathered via several different measurements on the same system, to create a joint data di…
Finding Archetypal Spaces Using Neural Networks
David van Dijk, Daniel Burkhardt, Matthew Amodio +3
Archetypal analysis is a data decomposition method that describes each observation in a dataset as a convex combination of "pure types" or archetypes. These archetypes represent ex…