SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention R Ilbert, A Odonnat, V Feofanov, A Virmaux, G Paolo, T Palpanas, I Redko Forty-first International Conference on Machine Learning (Oral), 2024 | 22* | 2024 |
Data Augmentation for Multivariate Time Series Classification: An Experimental Study R Ilbert, TV Hoang, Z Zhang Fortieth International Conference on Data Engineering (ICDE), Multivariate …, 2024 | 2 | 2024 |
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification V Feofanov, S Wen, M Alonso, R Ilbert, H Guo, M Tiomoko, L Pan, ... arXiv preprint arXiv:2502.15637, 2025 | 1 | 2025 |
User-friendly Foundation Model Adapters for Multivariate Time Series Classification V Feofanov, R Ilbert, M Tiomoko, T Palpanas, I Redko arXiv preprint arXiv:2409.12264, 2024 | 1 | 2024 |
Enhancing Multivariate Time Series Forecasting via Multi-Task Learning and Random Matrix Theory R Ilbert, M Tiomoko, C Louart, V Feofanov, T Palpanas, I Redko NeurIPS Workshop on Time Series in the Age of Large Models, 2024 | 1 | 2024 |
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting R Ilbert, M Tiomoko, C Louart, A Odonnat, V Feofanov, T Palpanas, ... NeurIPS 2024 (Spotlight), 2024 | | 2024 |
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting R Ilbert, T V. Hoang, Z Zhang, T Palpanas ACM Conference on Computer and Communications Security (ACM-CCS), ARTMAN …, 2023 | | 2023 |