Home » Teams » MLIA » MLIA Team publications

MLIA Team publications

  • Jean-Yves Franceschi. Representation Learning and Deep Generative Modeling in Dynamical Systems. Machine Learning [cs.LG]. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS014⟩. ⟨tel-03591720⟩
  • Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, et al.. A Neural Tangent Kernel Perspective of GANs. 2022. ⟨hal-03254591v3⟩
  • Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski. On the Study of Transformers for Query Suggestion. ACM Transactions on Information Systems, Association for Computing Machinery, 2022, 40 (1), pp.18. ⟨10.1145/3470562⟩. ⟨hal-03541893⟩
  • Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kévin Bailly. RED: Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. Advances in Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Virtual, France. ⟨hal-03610457⟩
  • Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, et al.. QuestEval: Summarization Asks for Fact-based Evaluation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Punta Cana (en ligne), Dominican Republic. pp.6594-6604, ⟨10.18653/v1/2021.emnlp-main.529⟩. ⟨hal-03541895⟩
  • Arnaud Dapogny, Kevin Bailly, Matthieu Cord. Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Nov 2020, Buenos Aires, Argentina. pp.192-198, ⟨10.1109/FG47880.2020.00038⟩. ⟨hal-03174162⟩
  • Arnaud Dapogny, Bailly Kevin, Matthieu Cord. DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. The IEEE International Conference on Computer Vision (ICCV), Oct 2019, Seoul, South Korea. ⟨hal-02450430⟩