2 citations · 4 across the 4 of their papers we have counts for
4 papers
DRAG: Data Reconstruction Attack using Guided Diffusion
Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen
With the rise of large foundation models, split inference (SI) has emerged as a popular computational paradigm for deploying models across lightweight edge devices and cloud server…
Stiff Transfer Learning for Physics-Informed Neural Networks
Emilien Seiler, Wanzhou Lei, Pavlos Protopapas
Stiff differential equations are prevalent in various scientific domains, posing significant challenges due to the disparate time scales of their components. As computational power…
One-Shot Transfer Learning for Nonlinear ODEs
Wanzhou Lei, Pavlos Protopapas, Joy Parikh
We introduce a generalizable approach that combines perturbation method and one-shot transfer learning to solve nonlinear ODEs with a single polynomial term, using Physics-Informed…
Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems
Levon Nurbekyan, Wanzhou Lei, Yunan Yang
We propose efficient numerical schemes for implementing the natural gradient descent (NGD) for a broad range of metric spaces with applications to PDE-based optimization problems.…