| Questeval: Summarization asks for fact-based evaluation T Scialom, PA Dray, P Gallinari, S Lamprier, B Piwowarski, J Staiano, ... arXiv preprint arXiv:2103.12693, 2021 | 372 | 2021 |
| Grounding large language models in interactive environments with online reinforcement learning T Carta, C Romac, T Wolf, S Lamprier, O Sigaud, PY Oudeyer International Conference on Machine Learning, 3676-3713, 2023 | 309 | 2023 |
| MLSUM: The multilingual summarization corpus T Scialom, PA Dray, S Lamprier, B Piwowarski, J Staiano arXiv preprint arXiv:2004.14900, 2020 | 242 | 2020 |
| Answers unite! unsupervised metrics for reinforced summarization models T Scialom, S Lamprier, B Piwowarski, J Staiano arXiv preprint arXiv:1909.01610, 2019 | 200 | 2019 |
| Stochastic latent residual video prediction JY Franceschi, E Delasalles, M Chen, S Lamprier, P Gallinari International Conference on Machine Learning, 3233-3246, 2020 | 196 | 2020 |
| Representation learning for information diffusion through social networks: an embedded cascade model S Bourigault, S Lamprier, P Gallinari Proceedings of the Ninth ACM international conference on Web Search and Data …, 2016 | 195 | 2016 |
| Learning social network embeddings for predicting information diffusion S Bourigault, C Lagnier, S Lamprier, L Denoyer, P Gallinari Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 165 | 2014 |
| Fair adversarial gradient tree boosting V Grari, B Ruf, S Lamprier, M Detyniecki 2019 IEEE International Conference on Data Mining (ICDM), 1060-1065, 2019 | 74* | 2019 |
| On the study of transformers for query suggestion A Mustar, S Lamprier, B Piwowarski ACM Transactions on Information Systems (TOIS) 40 (1), 1-27, 2021 | 72* | 2021 |
| Fairness-Aware Neural Rényi Minimization for Continuous Features V Grari, S Lamprier, M Detyniecki IJCAI 2020: International Joint Conferences on Artificial Intelligence …, 2020 | 71 | 2020 |
| Fairness without the sensitive attribute via causal variational autoencoder V Grari, S Lamprier, M Detyniecki arXiv preprint arXiv:2109.04999, 2021 | 57 | 2021 |
| Deep generative symbolic regression with monte-carlo-tree-search PA Kamienny, G Lample, S Lamprier, M Virgolin International Conference on Machine Learning, 15655-15668, 2023 | 50 | 2023 |
| PDE-Driven Spatiotemporal Disentanglement J Donà, JY Franceschi, S Lamprier, P Gallinari ICLR 2021: 9th International Conference on Learning Representations, 2021 | 50 | 2021 |
| Adversarial learning for counterfactual fairness V Grari, S Lamprier, M Detyniecki Machine Learning 112 (3), 741-763, 2023 | 46 | 2023 |
| Discriminative adversarial search for abstractive summarization T Scialom, PA Dray, S Lamprier, B Piwowarski, J Staiano International Conference on Machine Learning, 8555-8564, 2020 | 46 | 2020 |
| SegGen: A Genetic Algorithm for Linear Text Segmentation. S Lamprier, T Amghar, B Levrat, F Saubion IJCAI 7, 1647-1652, 2007 | 44 | 2007 |
| Data-QuestEval: A referenceless metric for data-to-text semantic evaluation C Rebuffel, T Scialom, L Soulier, B Piwowarski, S Lamprier, J Staiano, ... arXiv preprint arXiv:2104.07555, 2021 | 40 | 2021 |
| On evaluation methodologies for text segmentation algorithms S Lamprier, T Amghar, B Levrat, F Saubion 19th ieee international conference on tools with artificial intelligence …, 2007 | 40 | 2007 |
| Eager: Asking and answering questions for automatic reward shaping in language-guided rl T Carta, PY Oudeyer, O Sigaud, S Lamprier Advances in neural information processing systems 35, 12478-12490, 2022 | 35 | 2022 |
| A neural tangent kernel perspective of GANs JY Franceschi, E De Bézenac, I Ayed, M Chen, S Lamprier, P Gallinari International Conference on Machine Learning, 6660-6704, 2022 | 31 | 2022 |
Patrick GallinariProfessor Sorbonne University / Criteo AI LabVerified email at sorbonne-universite.fr
