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cs.LG2024
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min, René Vidal
The implicit bias of gradient-based training algorithms has been considered mostly beneficial as it leads to trained networks that often generalize well. However, Frei et al. (2023…
eess.SY2024
Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation
Yan Jiang, Hancheng Min, Baosen Zhang
Frequency security assessment following major disturbances has long been one of the central tasks in power system operations. The standard approach is to study the center of inerti…