critical clearing time 1event-structured modeling 1physics-informed neural networks 1power system dynamics 1transient stability assessment 1
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cs.LG2026
Event-Structured Physics-Informed Neural Networks for Differentiable Critical Clearing Boundaries
Baoli Hao, Chenxi Hu, Ming Zhong +1
The paper introduces an event-structured physics‑informed neural network (ES‑PINN) that models pre‑fault, fault‑on, and post‑clearing dynamics to accurately estimate the critical c…
cs.LG2024
Efficient and Robust Continual Graph Learning for Graph Classification in Biology
Ding Zhang, Jane Downer, Can Chen +1
Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph n…
cs.LG2024
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case
Hanxiao Lu, Zeyu Huang, Ren Wang
Convolutional neural networks (CNNs), one of the key architectures of deep learning models, have achieved superior performance on many machine learning tasks such as image classifi…