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From the 1 of 20 linked papers with an AI index.

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20 papers

cs.CY2026

Reading Between The Lines: Modeling and Evaluating Behavioral Realism in Legal Simulation

Divya Vetticaden, Arya Gupta, Julian Nyarko +1

Deposition training requires attorneys to manage dynamic witness behavior, yet legal-AI evaluations largely focus on factual accuracy, reasoning, or response-level plausibility. We…

stat.ME2026

Exact Likelihood and Sampling for Riemannian Gaussian Distributions on Correlation Matrices

Kisung You

Correlation matrices arise when marginal scales are removed from covariance matrices, yet a normalized likelihood must account for both quotient distance and quotient volume. We pr…

stat.ML2026

HOMER: Huber-of-Means for Efficient and Robust Estimation in Hilbert Spaces

Kisung You, Boram Cho

The paper introduces HOMER (Huber-of-Means), a robust estimator for Hilbert‑space valued data that aggregates block means using a radial Huber loss, offering a trade‑off between me…

stat.ML2026

Heat-Kernel Entropy Profiles and Geometric Effective Sample Size for Weighted Measures on Manifolds

Kisung You, Boram Cho

Weighted empirical measures on compact manifolds appear in importance sampling, particle approximations, posterior summaries, quadrature, and representation learning. Ordinary effe…

stat.ME2026

Geometric Information Decomposition for Weighted Empirical Measures on the Sphere

Kisung You, Boram Cho

Weighted observations on the unit sphere arise in importance sampling, quadrature, and attention-weighted embeddings. Directional uncertainty is often summarized through a von Mise…

stat.CO2026

Fast Computation of Free-Support Wasserstein Medians

Kisung You, Mauro Giuffré, Dennis Shung

The Wasserstein median is a robust alternative to the Wasserstein barycenter for averaging probability measures, but exact empirical computation can be expensive. A natural metric-…