3 papers
cs.LG2026
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…
stat.ME2026
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…
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…