MS-COOT uses co-optimal transport on hypergraph representations of Morse-Smale complexes to enable explicit region-to-region matching for identifying structural events such as splitting and merging.
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3 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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Vineyards from topological data analysis, checked with proposed statistical tests, visualize the evolution of local hotspots in Ohio’s overdose epidemic over time.
Generative AI adoption in Europe ranges from under 3% to 25%, is steeper for skilled workers in abstract-task jobs and in digitally advanced countries with training, shows a gender gap in exposed roles, and has produced no detectable shift in reported task content so far.
citing papers explorer
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MS-COOT: Comparing Morse-Smale Complexes with Co-Optimal Transport
MS-COOT uses co-optimal transport on hypergraph representations of Morse-Smale complexes to enable explicit region-to-region matching for identifying structural events such as splitting and merging.
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Visualizing Local Maxima of the Ohio overdose epidemic with Vineyards
Vineyards from topological data analysis, checked with proposed statistical tests, visualize the evolution of local hotspots in Ohio’s overdose epidemic over time.
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From Exposure to Adoption: Generative AI in European Workplaces
Generative AI adoption in Europe ranges from under 3% to 25%, is steeper for skilled workers in abstract-task jobs and in digitally advanced countries with training, shows a gender gap in exposed roles, and has produced no detectable shift in reported task content so far.