Statisticians from the National University of Singapore (NUS) have developed a pioneering approach for analyzing ...

In this paper, we propose using the properties of information geometry and statistical manifolds in order to define similarities between data sets using the Fisher information distance. We will show ...

Automotive Intake Manifold Market. The global automotive intake manifold market is poised for steady growth between 2025 and ...

Let's examine how the nation prepares for retirement and explore key financial planning statistics. Want to see how your financial habits stack up against other Americans? Understanding national ...

Some approaches examine how generalization emerges based on dataset size and manifold dimension variations along diffusion trajectories. Moreover, Statistical physics approaches are used to analyze ...

This is the official repo for the NeurIPS 2024 paper Categorical Flow Matching on Statistical Manifolds by Chaoran Cheng, Jiahan Li, Jian Peng, and Ge Liu. The paper is available at arXiv. Want to ...

This is the official repo for the NeurIPS 2024 paper Categorical Flow Matching on Statistical Manifolds by Chaoran Cheng, Jiahan Li, Jian Peng, and Ge Liu. The paper is available at arXiv. Our ...

statistical and computational benefits (or lack thereof) of sparse or manifold representations; hyperparameter-tuning and guarantees in density-based clustering. Associate Editor: SIAM Mathematics of ...