AutoAI-TS: AutoAI for Time Series Forecasting
Summary: Zero-config AutoAI-TS automatically trains, optimizes, and selects forecasting pipelines spanning statistical, ML, hybrid, and DL models with autonomous data prep. It uses T-Daub to rank pipelines; benchmarks show state-of-the-art performance without manual tuning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Syed Yousaf Shah (IBM)
- 2. Dhaval Patel (IBM)
- 3. Long Vu (IBM)
- 4. Xuan-Hong Dang (IBM)
- 5. Bei Chen (IBM)
- 6. Peter Kirchner (IBM)
- 7. Horst Samulowitz (IBM)
- 8. David Wood (IBM)
- 9. Gregory Bramble (IBM)
- 10. Wesley M. Gifford (IBM)
- 11. Giridhar Ganapavarapu (IBM)
- 12. Roman Vaculin (IBM)
- 13. Petros Zerfos (IBM)
BibTeX Citation
@inproceedings{shah_sigmod21,
title = {{AutoAI-TS: AutoAI for Time Series Forecasting}},
author = {Shah, Syed Yousaf and Patel, Dhaval and Vu, Long and Dang, Xuan-Hong and Chen, Bei and Kirchner, Peter and Samulowitz, Horst and Wood, David and Bramble, Gregory and Gifford, Wesley M. and Ganapavarapu, Giridhar and Vaculin, Roman and Zerfos, Petros},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457557},
url = {https://dl.acm.org/doi/10.1145/3448016.3457557},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,498 | SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting | 2023 | VLDB | 6.1972571e-05 |
| 6,443 | AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting | 2023 | SIGMOD | 5.8775356e-05 |
| 11,266 | DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series | 2024 | VLDB | 5.093636e-05 |
| 11,314 | A Demonstration of TENDS: Time Series Management System based on Model Selection | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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