Gerald Woo

发表

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

S. Hoi, Akshat Kumar, Doyen Sahoo, 2022, ICLR.

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

S. Hoi, Akshat Kumar, Doyen Sahoo, 2022, ArXiv.

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

S. Hoi, Akshat Kumar, Doyen Sahoo, 2022, ArXiv.

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

S. Hoi, Akshat Kumar, Doyen Sahoo, 2022, International Conference on Learning Representations.

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

S. Hoi, Akshat Kumar, Doyen Sahoo, 2022, ArXiv.

Model Agnostic Defence Against Backdoor Attacks in Machine Learning pdf

Shanshan Peng, Sudipta Chattopadhyay, Sakshi Udeshi, 2019, IEEE Transactions on Reliability.

Merlion: A Machine Learning Library for Time Series pdf

Bo Zong, Silvio Savarese, Doyen Sahoo, 2021, ArXiv.

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

S. Hoi, Akshat Kumar, Doyen Sahoo, 2022, ArXiv.

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges

S. Hoi, Amrita Saha, Wenjing Yang, 2023, ArXiv.

Learning Deep Time-index Models for Time Series Forecasting

S. Hoi, Akshat Kumar, Doyen Sahoo, 2022, ICML.

Unified Training of Universal Time Series Forecasting Transformers

Doyen Sahoo, Gerald Woo, Silvio Savarese, 2024, ArXiv.