You can find the complete list of my publications on Google Scholar.

Selected publications

• AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. A. Benechehab, V. Feofanov, G. Paolo, A. Thomas, M. Filippone, B. Kégl. Preprint (2025). link
• Zero-shot Model-based Reinforcement Learning using Large Language Model. A. Benechehab, Y. Attia El Hili, A. Odonnat, O. Zekri, A. Thomas, G. Paolo, M. Filippone, I. Redko, B. Kégl. ICLR 2025. link
• A Study of the Weighted Multi-step Loss Impact on the Predictive Error and the Return in MBRL. A. Benechehab, A. Thomas, G. Paolo, M. Filippone, B. Kégl. I Can’t Believe It’s Not Better Workshop: Failure Modes of Sequential Decision-Making in Practice, RLC 2024. link
• Guided Safe Shooting: model based reinforcement learning with safety constraints. G. Paolo, J. Gonzalez-Billandon, A. Thomas, B. Kégl. Preprint (2022). link
• Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? B. Kégl, G. Hurtado, A. Thomas. ICLR 2021. link, code
• Mass Volume curves and anomaly ranking. S. Clémençon, A. Thomas. Electronic Journal of Statistics (2018). link
• Anomaly detection in extreme regions via empirical MV-sets on the sphere. A. Thomas, S. Clémençon, A. Gramfort, A. Sabourin. AISTATS 2017. link
• Learning hyperparameters for unsupervised anomaly detection. A. Thomas, S. Clémençon, V. Feuillard, A. Gramfort. Anomaly Detection Workshop, ICML 2016. Co-winner of the Google best paper award. link, code