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 | 144 | 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 | 130 | 2014 |
Answers unite! unsupervised metrics for reinforced summarization models T Scialom, S Lamprier, B Piwowarski, J Staiano arXiv preprint arXiv:1909.01610, 2019 | 100 | 2019 |
Stochastic latent residual video prediction JY Franceschi, E Delasalles, M Chen, S Lamprier, P Gallinari International Conference on Machine Learning, 3233-3246, 2020 | 90 | 2020 |
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 | 74 | 2021 |
MLSUM: The multilingual summarization corpus T Scialom, PA Dray, S Lamprier, B Piwowarski, J Staiano arXiv preprint arXiv:2004.14900, 2020 | 74 | 2020 |
SegGen: A Genetic Algorithm for Linear Text Segmentation. S Lamprier, T Amghar, B Levrat, F Saubion IJCAI 7, 1647-1652, 2007 | 39 | 2007 |
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 | 36 | 2007 |
Fair adversarial gradient tree boosting V Grari, B Ruf, S Lamprier, M Detyniecki 2019 IEEE International Conference on Data Mining (ICDM), 1060-1065, 2019 | 32* | 2019 |
Fairness-Aware Neural Rényi Minimization for Continuous Features V Grari, S Lamprier, M Detyniecki IJCAI 2020: International Joint Conferences on Artificial Intelligence …, 2020 | 26 | 2020 |
Discriminative adversarial search for abstractive summarization T Scialom, PA Dray, S Lamprier, B Piwowarski, J Staiano International Conference on Machine Learning, 8555-8564, 2020 | 18 | 2020 |
Whichstreams: A dynamic approach for focused data capture from large social media T Gisselbrecht, L Denoyer, P Gallinari, S Lamprier Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 18 | 2015 |
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 | 17* | 2021 |
Deep dynamic neural networks for temporal language modeling in author communities E Delasalles, S Lamprier, L Denoyer Knowledge and Information Systems 63 (3), 733-757, 2021 | 17* | 2021 |
PDE-Driven Spatiotemporal Disentanglement J Donŕ, JY Franceschi, S Lamprier, P Gallinari ICLR 2021: 9th International Conference on Learning Representations, 2021 | 17 | 2021 |
Extracting diffusion channels from real-world social data: a delay-agnostic learning of transmission probabilities S Lamprier, S Bourigault, P Gallinari Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 17 | 2015 |
A recurrent neural cascade-based model for continuous-time diffusion S Lamprier International Conference on Machine Learning, 3632-3641, 2019 | 15 | 2019 |
Classstruggle: a clustering based text segmentation S Lamprier, T Amghar, B Levrat, F Saubion Proceedings of the 2007 ACM symposium on Applied computing, 600-604, 2007 | 15* | 2007 |
ColdGANs: Taming Language GANs with Cautious Sampling Strategies T Scialom, PA Dray, S Lamprier, B Piwowarski, J Staiano Advances in Neural Information Processing Systems 33: Annual Conference on …, 2020 | 13 | 2020 |
Adversarial learning for counterfactual fairness V Grari, S Lamprier, M Detyniecki Machine Learning, 1-23, 2022 | 9 | 2022 |