no code implementations • 26 Mar 2023 • Brad Windsor, Brandon O'Shea, Mengxi Wu
The Reinforcement Learning field is strong on achievements and weak on reapplication; a computer playing GO at a super-human level is still terrible at Tic-Tac-Toe.
no code implementations • 29 Jan 2023 • Mengxi Wu, Mohammad Rostami
To navigate these obstacles, we develop the Denoising and Nuclear-Norm Wasserstein Adaptation Network (DNAN).
no code implementations • 6 Jun 2022 • Bin Yang, Mengxi Wu, Winfried Teizer
We apply the deep learning neural network architecture to the two-level system in quantum optics to solve the time-dependent Schrodinger equation.
no code implementations • 21 Sep 2021 • Mengxi Wu, Hao Huang, Yi Fang
In contrast to the PGD-k attack, our method generates adversarial samples that keep the geometric features in clean samples and contain few outliers.