3 papers
cs.LG2026
Connecting Jensen-Shannon and Kullback-Leibler Divergences: A New Bound for Representation Learning
Reuben Dorent, Polina Golland, William Wells
Mutual Information (MI) is a fundamental measure of statistical dependence widely used in representation learning. While direct optimization of MI via its definition as a Kullback-…
cs.CV2026
Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms
Yingcheng Liu, Athena Taymourtash, Yang Liu +5
Automated analysis of articulated bodies is crucial in medical imaging. Existing surface-based models often ignore internal volumetric structures and rely on deformation methods th…
cs.CL2025
Calibrating Expressions of Certainty
Peiqi Wang, Barbara D. Lam, Yingcheng Liu +5
We present a novel approach to calibrating linguistic expressions of certainty, e.g., "Maybe" and "Likely". Unlike prior work that assigns a single score to each certainty phrase,…