3 papers
math.ST2026
Optimal transport based theory for latent structured models
XuanLong Nguyen, Yun Wei
This article is an exposition on some recent theoretical advances in learning latent structured models, with a primary focus on the fundamental roles that optimal transport distanc…
stat.ME2025
A Bayesian approach to learning mixtures of nonparametric components
Yilei Zhang, Yun Wei, Aritra Guha +1
Mixture models are widely used in modeling heterogeneous data populations. A standard approach of mixture modeling assumes that the mixture component takes a parametric kernel form…
cs.LG2025
PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations
Fabien Casenave, Xavier Roynard, Brian Staber +17
Machine learning-based surrogate models have emerged as a powerful tool to accelerate simulation-driven scientific workflows, but their adoption is limited by the lack of large-sca…