CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting G Woo, C Liu, D Sahoo, A Kumar, S Hoi The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 234 | 2022 |
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting G Woo, C Liu, D Sahoo, A Kumar, S Hoi arXiv preprint arXiv:2202.01381, 2022 | 188 | 2022 |
Model agnostic defence against backdoor attacks in machine learning S Udeshi, S Peng, G Woo, L Loh, L Rawshan, S Chattopadhyay IEEE Transactions on Reliability 71 (2), 880-895, 2022 | 96 | 2022 |
Learning Deep Time-index Models for Time Series Forecasting G Woo, C Liu, D Sahoo, A Kumar, S Hoi The Fortieth International Conference on Machine Learning (ICML 2023), 37217 …, 2023 | 34* | 2023 |
Merlion: End-to-End Machine Learning for Time Series A Bhatnagar, P Kassianik, C Liu, T Lan, W Yang, R Cassius, D Sahoo, ... Journal of Machine Learning Research 24 (226), 1-6, 2023 | 32* | 2023 |
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Q Cheng, D Sahoo, A Saha, W Yang, C Liu, G Woo, M Singh, S Saverese, ... arXiv preprint arXiv:2304.04661, 2023 | 25 | 2023 |
Unified Training of Universal Time Series Forecasting Transformers G Woo, C Liu, A Kumar, C Xiong, S Savarese, D Sahoo The Forty-first International Conference on Machine Learning (ICML 2024), 2024 | 24 | 2024 |
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain G Woo, C Liu, A Kumar, D Sahoo arXiv preprint arXiv:2310.05063, 2023 | 3 | 2023 |
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting J Liu, C Liu, G Woo, Y Wang, B Hooi, C Xiong, D Sahoo arXiv preprint arXiv:2406.04975, 2024 | | 2024 |