2 papers
stat.ML2025
Categorical and geometric methods in statistical, manifold, and machine learning
Hông Vân Lê, Hà Quang Minh, Frederic Protin +1
We present and discuss applications of the category of probabilistic morphisms, initially developed in \cite{Le2023}, as well as some geometric methods to several classes of proble…
math.AT2025
A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity
JunJie Wee, Xue Gong, Wilderich Tuschmann +1
We introduce, for the first time, a cohomology-based Gromov-Hausdorff ultrametric method to analyze 1-dimensional and higher-dimensional (co)homology groups, focusing on loops, voi…