Publications

2024

Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
The Forty-first International Conference on Machine Learning (ICML), 2024, Oral
arXiv | Code | Blog

2023

Learning Deep Time-index Models for Time Series Forecasting
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi
The Fortieth International Conference on Machine Learning (ICML), 2023
ICML’23 | arXiv | Code | Blog | Slides

Merlion: A machine learning library for time series
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, KC Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang
The Journal of Machine Learning Research (JMLR), Volume 24
JMLR | arXiv | Code

2022

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi
The Tenth International Conference on Learning Representations (ICLR), 2022
ICLR’22 | arXiv | Code | Slides

Model agnostic defence against backdoor attacks in machine learning
Sakshi Udeshi, Shanshan Peng, Gerald Woo, Lionell Loh, Louth Rawshan, Sudipta Chattopadhyay
IEEE Transactions on Reliability, 2022
IEEE | arXiv | Code

Preprints

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar
arXiv | Code

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi
arXiv | Code | Blog

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Saverese, Steven Hoi
arXiv