User-friendly Foundation Model Adapters for Multivariate Time Series Classification.
CoRR, 2024
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
CoRR, 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Data Augmentation for Multivariate Time Series Classification: An Experimental Study.
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting.
Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023