research
∙
06/30/2023
Geometric Autoencoders – What You See is What You Decode
Visualization is a crucial step in exploratory data analysis. One possib...
share
research
∙
06/03/2022
Contrastive learning unifies t-SNE and UMAP
Neighbor embedding methods t-SNE and UMAP are the de facto standard for ...
research
∙
03/26/2021
UMAP does not reproduce high-dimensional similarities due to negative sampling
UMAP has supplanted t-SNE as state-of-the-art for visualizing high-dimen...
research
∙
02/11/2021
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder
Single cell RNA sequencing (scRNA-seq) data makes studying the developme...
research
∙
11/26/2020
MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons
Instance segmentation of overlapping objects in biomedical images remain...
research
∙
11/06/2019