Selected publications from current research themes

• “DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor” with I. Ben M’Barek, G. Jauvion, J. Merrer, M. Koskas, O. Sibony, P.-F. Ceccaldi and J. Stirnemann, Computers in Biology and Medicine (2025)
• “Wavelet-Based Multiscale Initial Flow For Improved Atlas Estimation in the Large Diffeomorphic Deformation Model Framework” with F. Gaudfernau, E. Blondiaux and S. Allassonnière, Journal of Mathematical Imaging and Vision (2025)
• “Near-Optimal Distributionally Robust RL with General Lp Norms” with P. Clavier, L. Shi, E. Mazumdar, A. Wierman and M. Geist, NeurIPS (2024)
• “Bootstrapping Expectiles in Reinforcement Learning” with P. Clavier, E. Rachelson and M. Geist, 17th European Workshop on Reinforcement Learning (2024)
• “State Abstraction Discovery from Progressive Disaggregation Methods” with O. Forghieri, H. Castel and E. Hyon, 17th European Workshop on Reinforcement Learning (2024)
• “Towards Minimax Optimality of Model-based Robust Reinforcement Learning” with P. Clavier and M. Geist, Conference on Uncertainty in Artificial Intelligence (UAI) (2024)
• “Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming” with O. Forghieri, H. Castel and E. Hyon, International Conference on Automated Planning and Scheduling (2024)
• “A multiscale algorithm for computing realistic image transformations - Application to the modelling of fetal brain growth” with F. Gaudfernau and S. Allassonnière, SPIE Medical Imaging (2023)
• “Input uncertainty propagation through trained neural networks” with P. Monchot, L. Coquelin, S. Petit, S. Marmin and N. Fischer, International Conference on Machine Learning (2023)
• “Causal and Interpretable Rules for Time Series Analysis” with A. Dhaou, A. Bertoncello, S. Gourvénec and J. Garnier, Knowledge Discovery and Data Mining (2021)
• “Intelligent Questionnaires Using Approximate Dynamic Programming” with F. Logé and H. Amadou-Boubacar, i-com (2021)

For more details, see the research page or the comprehensive list of publications.

Current students

• Ayoub Oulad Ali, PhD in co-supervision with Angelo Pierangelo, 2026-, Deep learning and Mueller polarimetric imaging
• Guillaume Brochot, PhD in co-supervision with Thomas Clausen and Jean-Louis Rougier, 2024-, AI for network systems
• Imane Ben M’Barek, PhD in co-supervision with Julien Stirnemann, 2023-, Prediction of neonatal hypoxia by automated analysis of cardiotocography during labor
• Inass Kamal, PhD in co-supervision with Angelo Pierangelo, 2022-, Multispectral Mueller polarimetric imaging
• Shadé Alao, PhD in co-supervision with Serge Cohen, 2022-, New statistical learning tools for imputation and prognosis in conservation science

Former students

• Orso Forghieri, PhD in co-supervision with Hind Castel and Emmanuel Hyon, 2022-2025, hierarchical reinforcement learning – Qube Research & Technologies
• Pierre Clavier, PhD in co-supervision with Stéphanie Allassonnière, 2021-2024, Robust Reinforcement Learning: Theory and Practice – Research Scientist at Cohere
• Amin Dhaou, PhD in co-supervision with Josselin Garnier, 2021-2024, CIFRE TotalEnergies, Causality and Time Series – Research Scientist
• Fleur Gaudfernau, PhD in co-supervision with Stéphanie Allassonnière, 2020-2023, Detection of corpus callosum agenesis from fetal MRI for a refined diagnosis and early care – Postdoc at Fondation Lumière
• Paul Monchot, PhD, 2020-2023, CIFRE LNE, Supervised learning and sensitivity – Research Scientist at L’Oréal
• Angie Pineda, Postdoc, 2018-2021, C’IL-LICO project, Health data – Faculty member at ENSAI
• Thomas Galtier, Postdoc, 2019-2020, HealthChain project, Data Valuation, Federated Learning
• Frédéric Logé-Munerel, PhD, 2017-2021, CIFRE Air Liquide, Planning and Reinforcement Learning – Machine Learning Engineer at Sonio
• Rémi Besson, PhD in co-supervision with Stéphanie Allassonnière, 2016-2019, Rare Disease Diagnosis Optimization – CSO at Sonio
• Marco Brigham, Postdoc, 2017-2019, Morpheo project, EEG Analysis – CSO at Moonoia
• Esther Derman, Associate Researcher, 2016-2017, Model-Based Histogram Clustering – moved to Israel, PhD at the Technion, Postdoc at MILA
• Solenne Thivin, PhD, 2012-2015, CIFRE Thales Optronics, Detection on Complex Textures – high school teacher
• Lucie Montuelle, PhD, 2011-2014, Conditional Density Estimation – Engineer at EDF
• Joseph Salmon, PhD, 2007-2010, Estimator Aggregation – Full professor at Université de Montpellier