Xiaoning Qian

Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning

2022 · Patterns

Classification has been a major task for building intelligent systems because it enables decision-making under uncertainty. Classifier design aims at building models from training data for representing feature-label distributions-either explicitly or implicitly. In many scientific …

Data-Augmented Few-Shot Neural Emulator for Computer-Model System Identification

2025 · arXiv (Cornell University)

Partial differential equations (PDEs) underpin the modeling of many natural and engineered systems. It can be convenient to express such models as neural PDEs rather than using traditional numerical PDE solvers by replacing part or …