2 papers
math.NA2025
Mitigating distribution shift in machine learning-augmented hybrid simulation
Jiaxi Zhao, Qianxiao Li
We study the problem of distribution shift generally arising in machine-learning augmented hybrid simulation, where parts of simulation algorithms are replaced by data-driven surro…
cs.LG2024
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving
Sohei Arisaka, Qianxiao Li
Scientific computing is an essential tool for scientific discovery and engineering design, and its computational cost is always a main concern in practice. To accelerate scientific…