23 citations · 24 across the 15 of their papers we have counts for
3 papers · 1 filter
Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chirality
Clément Soubrier, Geoffrey Woollard, Andrew Warren +1
Efficiently and robustly analyzing shape data is critical across many scientific disciplines. While chirality is a fundamental property in numerous applications - most notably in m…
Learning the Geometry of Data: A Mathematical Review of Shape Space Analysis
Gary P. T. Choi, Khanh Dao Duc, Shira Faigenbaum-Golovin +6
A central objective of machine learning is to identify structure and patterns in data. Advances in data acquisition have increasingly produced datasets whose observations possess r…
Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models
Wanxin Li, Denver McNeney, Nivedita Prabhu +5
AI-powered recruitment tools are increasingly adopted in personnel selection, yet they struggle to capture the requisition (req)-specific personal competencies (PCs) that distingui…