1 code implementation • 21 Dec 2023 • Tao Wu, Tie Luo, Donald C. Wunsch
However, as training progresses, the non-linearity of the loss landscape increases, rendering one-step gradient ascent less effective.
1 code implementation • 20 Dec 2023 • Tao Wu, Tie Luo, Donald C. Wunsch
The transferability of adversarial examples is of central importance to transfer-based black-box adversarial attacks.
no code implementations • 9 Jul 2023 • Tao Wu, Tie Luo, Donald C. Wunsch
Adversarial examples (AE) with good transferability enable practical black-box attacks on diverse target models, where insider knowledge about the target models is not required.
no code implementations • 26 Sep 2019 • Donald C. Wunsch
This editorial summarizes selected key contributions of Prof. Stephen Grossberg and describes the papers in this 80th birthday special issue in his honor.
no code implementations • 14 Aug 2019 • Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch
In this paper, a neural network predictive controller is proposed to regulate the active and the reactive power delivered to the grid generated by a three-phase virtual inertia-based inverter.
no code implementations • 14 Aug 2019 • Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch
In this paper a neural network heuristic dynamic programing (HDP) is used for optimal control of the virtual inertia based control of grid connected three phase inverters.