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Multivariate time series forecasting plays a pivotal role in contemporary web technologies.
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Exit: Extrapolation and interpolation-based neural controlled differential equations for time-series classification and forecasting. In Proceedings of the ACM Web Conference 2022 . 3102–3112
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Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, and Steven Hoi. 2022 · 2022
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Lmflow: An extensible toolkit for finetuning and inference of large foundation models
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A time series is worth 64 words: Long-term forecasting with transformers. In International Conference on Learning Representations
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Timesnet: Temporal 2d-variation modeling for general time series analysis. In International Conference on Learning Representations
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Are transformers effective for time series forecasting?. In Proceedings of the AAAI conference on artificial intelligence . 11121–11128
Ailing Zeng, Muxi Chen, Lei Zhang, and Qiang Xu. 2023 · 2023
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Recommendation as instruction following: A large language model empowered recommendation approach
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GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. In Advances in neural information processing systems
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One Fits All: Power General Time Series Analysis by Pretrained LM. In Advances in Neural Information Processing Systems
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Position Paper: What Can Large Language Models Tell Us about Time Series Analysis
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