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.
Title resolution pending
3 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
3
Pith papers citing it
3
external citations · external index
years
2026 3representative citing papers
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
-
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.
-
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.
- Visualizing Local Maxima of the Ohio overdose epidemic with Vineyards