| 2026 | WACV | PVeRA: Probabilistic Vector-Based Random Matrix Adaptation. | Leo Fillioux, Enzo Ferrante, Paul-Henry Cournde, Maria Vakalopoulou, Stergios Christodoulidis |
| 2024 | AIME | Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. | Paul Dubois, Paul-Henry Cournde, Nikos Paragios, Pascal Fenoglietto |
| 2023 | MICCAI | Structured State Space Models for Multiple Instance Learning in Digital Pathology. | Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournde, Stergios Christodoulidis |
| 2021 | MICCAI | Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions. | Martin Charachon, Paul-Henry Cournde, Cline Hudelot, Roberto Ardon |
| 2020 | ICPR | Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. | Martin Charachon, Cline Hudelot, Paul-Henry Cournde, Camille Ruppli, Roberto Ardon |
| 2016 | ICDM | Learning from User Workflows for the Characterization and Prediction of Software Crashes. | Chlo Adam, Antoine Aliotti, Paul-Henry Cournde |
| 2013 | SIMULTECH | Towards an EDSL to Enhance Good Modelling Practice for Non-linear Stochastic Discrete Dynamical Models - Application to Plant Growth Models. | Benoit Bayol, Yuting Chen, Paul-Henry Cournde |