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2020 – today
- 2024
[c3]Romain Ilbert, Thai V. Hoang, Zonghua Zhang:
Data Augmentation for Multivariate Time Series Classification: An Experimental Study. ICDEW 2024: 128-139- [c2]Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko:
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. ICML 2024 - [i5]Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko:
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR abs/2402.10198 (2024) - [i4]Romain Ilbert, Thai V. Hoang, Zonghua Zhang:
Data Augmentation for Multivariate Time Series Classification: An Experimental Study. CoRR abs/2406.06518 (2024) - [i3]Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko:
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. CoRR abs/2406.10327 (2024) - [i2]Vasilii Feofanov, Romain Ilbert, Malik Tiomoko, Themis Palpanas, Ievgen Redko:
User-friendly Foundation Model Adapters for Multivariate Time Series Classification. CoRR abs/2409.12264 (2024) - 2023
- [c1]Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas:
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. ARTMAN@CCS 2023: 17-28 - [i1]Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas:
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. CoRR abs/2311.09790 (2023)
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