2 papers
cs.LG2026
How Geometry Shapes Generative Model Evaluation on Riemannian Manifolds
Misha Oberski, Valentijn Oldenburg, Xanthos Kekkos +6
On Riemannian manifolds, generative-model evaluation is geometry-dependent since curvature and dimension jointly determine distances and volume growth. Our framework systematically…
cs.LG2025
Enhancing ML Models Interpretability for Credit Scoring
Sagi Schwartz, Qinling Wang, Fang Fang
Predicting default is essential for banks to ensure profitability and financial stability. While modern machine learning methods often outperform traditional regression techniques,…