3 papers
math.ST2026
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…
math.NA2024
Studying Morphological Variation: Exploring the Shape Space in Evolutionary Anthropology
Shira Faigenbaum-Golovin, Ingrid Daubechies
We present results of a long-term team collaboration of mathematicians and biologists. We focus on building a mathematical framework for the shape space constituted by a collection…
cs.CL2024
Critical biblical studies via word frequency analysis: unveiling text authorship
Shira Faigenbaum-Golovin, Alon Kipnis, Axel Bühler +3
The Bible, a product of an extensive and intricate process of oral-written transmission spanning centuries, obscures the contours of its earlier recensions. Debate rages over deter…