| Inverse Reinforcement Learning through Structured Classification E Klein, M Geist, B Piot, O Pietquin Advances in Neural Information Processing Systems, 1-9, 2012 | 127 | 2012 |
| Metric learning with horde: High-order regularizer for deep embeddings P Jacob, D Picard, A Histace, E Klein Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 80 | 2019 |
| A cascaded supervised learning approach to inverse reinforcement learning E Klein, B Piot, M Geist, O Pietquin Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 67 | 2013 |
| Batch, off-policy and model-free apprenticeship learning E Klein, M Geist, O Pietquin Recent Advances in Reinforcement Learning, 285-296, 2012 | 44 | 2012 |
| Inverse reinforcement learning to control a robotic arm using a Brain-Computer Interface L Bougrain, M Duvinage, E Klein | 7 | 2012 |
| Efficient codebook and factorization for second order representation learning P Jacob, D Picard, A Histace, E Klein 2019 IEEE International Conference on Image Processing (ICIP), 849-853, 2019 | 4 | 2019 |
| Around inverse reinforcement learning and score-based classification OP Matthieu Geist, Edouard Klein, Bilal Piot, Yann Reinforcement Learning and Decision Making Meetings, 2013 | 4* | 2013 |
| Reducing the dimentionality of the reward space in the Inverse Reinforcement Learning problem E Klein, M Geist, O Pietquin Proceedings of the IEEE workshop on machine learning algorithms, systems and …, 2011 | 4 | 2011 |
| Classification structurée pour l'apprentissage par renforcement inverse E Klein, B Piot, M Geist, O Pietquin Conférence Francophone sur l'Apprentissage Automatique-CAp 2012, 1-16, 2012 | 3 | 2012 |
| Improving deep metric learning with virtual classes and examples mining P Jacob, D Picard, A Histace 2022 IEEE International Conference on Image Processing (ICIP), 2696-2700, 2022 | 2 | 2022 |
| Reinforced autonomous agents with attack-defense exercises in realistic environments F Guihery, G Bossert, D Crémilleux, O Tétard, B Gigodeaux, É Klein Proceedings of the 28th C&ESAR, 191, 2021 | 2 | 2021 |
| Apprentissage par renforcement inverse en cascadant classification et régression E Klein, B Piot, M Geist, O Pietquin Journées Francophones de Plannification, Décision et Apprentissage (JFPDA), 2013 | 2 | 2013 |
| DIABLO: Dictionary-based attention block for deep metric learning P Jacob, D Picard, A Histace, E Klein Pattern Recognition Letters 135, 99-105, 2020 | 1 | 2020 |
| Leveraging implicit spatial information in global features for image retrieval P Jacob, D Picard, A Histace, E Klein 2018 25th IEEE International Conference on Image Processing (ICIP), 2002-2006, 2018 | 1 | 2018 |
| Contributions à l'apprentissage par renforcement inverse E Klein Université de Lorraine, 2013 | 1 | 2013 |
| Développement et validation externe d’un modèle de prédiction du passage d’une forme légère à modérée ou sévère de COVID-19, à l’aide du scanner thoracique M Zysman, J Asselineau, O Saut, E Frison, M Oranger, A Maurac, ... Revue des Maladies Respiratoires Actualités 15 (1), 6-7, 2023 | | 2023 |
| Outcome of elderly patients suffering from solid tumor and admitted to Intensive Care Unit (ICU) NA E. Auclin, S. Oudard, E. Guerot, C. Thibault, E. Klein, P. Combe, C. Hauw ... European Cancer Congress 2015, 2015 | | 2015 |
| Easy steps towards a sane IT policy in hospitals E Klein ArXiv e-prints, 2015 | | 2015 |
| Contributions to inverse reinforcement learning E Klein < bound method Organization. get_name_with_acronym of< Organization …, 2013 | | 2013 |
| Classification structurée pour l'apprentissage par renforcement inverse E Klein, B Piot, M Geist, O Pietquin Revue des Sciences et Technologies de l'Information-Série RIA: Revue d …, 2013 | | 2013 |
Olivier PietquinCohere | ex Google DeepMind (On leave - Professor at University of Lille)Verified email at univ-lille.fr
