Reconstructing damaged fNIRS signals with a generative deep learning model.
Artif. Intell. Rev., February, 2025
Attention as Robust Representation for Time Series Forecasting.
CoRR, 2024
Energy forecasting with robust, flexible, and explainable machine learning algorithms.
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AI Mag., December, 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors.
CoRR, 2023
Power Time Series Forecasting by Pretrained LM.
CoRR, 2023
One Fits All: Power General Time Series Analysis by Pretrained LM.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms.
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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Indoor Lighting Estimation Using an Event Camera.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021