Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. - Romain Ilbert; Thai V. Hoang; Zonghua Zhang; Themis Palpanas (ARTMAN@CCS, 2023)

Data Augmentation for Multivariate Time Series Classification: An Experimental Study. - Romain Ilbert; Thai V. Hoang; Zonghua Zhang (ICDEW, 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 (ICML, 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 (NeurIPS, 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)

User-Friendly Foundation Model Adapters for Multivariate Time Series Classification. - Romain Ilbert; Vasilii Feofanov; Malik Tiomoko; Ievgen Redko; Themis Palpanas (ICDEW, 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, 2025)