11 citations · 17 across the 5 of their papers we have counts for
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stat.ML2025
Hierarchical clustering with maximum density paths and mixture models
Martin Ritzert, Polina Turishcheva, Laura Hansel +3
Hierarchical clustering is an effective, interpretable method for analyzing structure in data. It reveals insights at multiple scales without requiring a predefined number of clust…
stat.ML2021★ 4 cited
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Marissa A. Weis, Laura Hansel, Timo Lüddecke +1
Unsupervised graph representation learning has recently gained interest in several application domains such as neuroscience, where modeling the diverse morphology of cell types in…