5 citations · 10 across the 4 of their papers we have counts for
5 papers
Any Graph is a Mapper Graph
Enrique G Alvarado, Robin Belton, Kang-Ju Lee +4
The Mapper algorithm is a popular tool for visualization and data exploration in topological data analysis. We investigate an inverse problem for the Mapper algorithm: Given a data…
G-Mapper: Learning a Cover in the Mapper Construction
Enrique Alvarado, Robin Belton, Emily Fischer +4
The Mapper algorithm is a visualization technique in topological data analysis (TDA) that outputs a graph reflecting the structure of a given dataset. However, the Mapper algorithm…
Sketching Merge Trees for Scientific Data Visualization
Mingzhe Li, Sourabh Palande, Lin Yan +1
Merge trees are a type of topological descriptors that record the connectivity among the sublevel sets of scalar fields. They are among the most widely used topological tools in vi…
TopoAct: Visually Exploring the Shape of Activations in Deep Learning
Archit Rathore, Nithin Chalapathi, Sourabh Palande +1
Deep neural networks such as GoogLeNet, ResNet, and BERT have achieved impressive performance in tasks such as image and text classification. To understand how such performance is…
Spectral Sparsification of Simplicial Complexes for Clustering and Label Propagation
Braxton Osting, Sourabh Palande, Bei Wang
As a generalization of the use of graphs to describe pairwise interactions, simplicial complexes can be used to model higher-order interactions between three or more objects in com…