2 citations · 2 across the 2 of their papers we have counts for
4 papers
Topological Simplifications of Hypergraphs
Youjia Zhou, Archit Rathore, Emilie Purvine +1
We study hypergraph visualization via its topological simplification. We explore both vertex simplification and hyperedge simplification of hypergraphs using tools from topological…
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
Archit Rathore, Sunipa Dev, Jeff M. Phillips +6
Word vector embeddings have been shown to contain and amplify biases in data they are extracted from. Consequently, many techniques have been proposed to identify, mitigate, and at…
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data
Youjia Zhou, Nithin Chalapathi, Archit Rathore +2
The mapper algorithm is a popular tool from topological data analysis for extracting topological summaries of high-dimensional datasets. In this paper, we present Mapper Interactiv…
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…