pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting

no code implementations • 16 May 2023 • Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li

However, the choice of model highly relies on the characteristics of the input time series and the fixed distribution that the model is based on.

Probabilistic Time Series Forecasting Time Series

Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization

no code implementations • 24 May 2022 • Shudong Zhang, Haichang Gao, Tianwei Zhang, Yunyi Zhou, Zihui Wu

Adversarial training (AT) has proven to be one of the most effective ways to defend Deep Neural Networks (DNNs) against adversarial attacks.