Romain Ilbert

According to our database, Romain Ilbert authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification.

Vasilii Feofanov, Songkang Wen, Marius Alonso, Romain Ilbert, Hongbo Guo, Malik Tiomoko, Lujia Pan, Jianfeng Zhang, Ievgen Redko

CoRR, February, 2025

User-Friendly Foundation Model Adapters for Multivariate Time Series Classification.

Romain Ilbert, Vasilii Feofanov, Malik Tiomoko, Ievgen Redko, Themis Palpanas

Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

2024

Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.

Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko

CoRR, 2024

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.

Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko

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.

Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data Augmentation for Multivariate Time Series Classification: An Experimental Study.

Romain Ilbert, Thai V. Hoang, Zonghua Zhang

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023

Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting.

Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas

Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023