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MLIA Team publications

  • Adel Nabli, Edouard Oyallon. DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization for Time-Varying Gossips. 2022. ⟨hal-03737694⟩
  • Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, et al.. A Neural Tangent Kernel Perspective of GANs. Thirty-ninth International Conference on Machine Learning, Jul 2022, Baltimore, MD, United States. ⟨hal-03716574⟩
  • Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux. Why do tree-based models still outperform deep learning on tabular data?. 2022. ⟨hal-03723551⟩
  • Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant. From Distillation to Hard Negative Sampling. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2022, Madrid, Spain. pp.2353-2359, ⟨10.1145/3477495.3531857⟩. ⟨hal-03736109⟩
  • Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, et al.. Which Discriminator for Cooperative Text Generation?. SIGIR 2022 - 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2022, Madrid Spain, France. pp.2360-2365, ⟨10.1145/3477495.3531858⟩. ⟨hal-03718429⟩
  • Leon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari. MULTI-SCALE PHYSICAL REPRESENTATIONS FOR AP-PROXIMATING PDE SOLUTIONS WITH GRAPH NEU-RAL OPERATORS. ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Apr 2022, En ligne, France. ⟨hal-03709247⟩
  • Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari. AN EXTENSIBLE BENCHMARKING GRAPH-MESH DATASET FOR STUDYING STEADY-STATE INCOM-PRESSIBLE NAVIER-STOKES EQUATIONS. ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Apr 2022, In remote, France. ⟨hal-03709263⟩
  • Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant. Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. European Conference on Information Retrieval, Apr 2022, Stavenger, Norway. pp.120-127, ⟨10.1007/978-3-030-99739-7_14⟩. ⟨hal-03736112⟩
  • Jean-Yves Franceschi. Representation Learning and Deep Generative Modeling in Dynamical Systems. Machine Learning [cs.LG]. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS014⟩. ⟨tel-03591720⟩
  • Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, et al.. Generative Cooperative Networks for Natural Language Generation. 39th International Conference on Machine Learning, Jul 2022, Baltimore, MD, United States. pp.11891--11905. ⟨hal-03736116⟩
  • 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⟩
  • Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, et al.. A Neural Tangent Kernel Perspective of GANs. Thirty-ninth International Conference on Machine Learning, International Machine Learning Society, Jul 2022, Baltimore, MD, United States. pp.6660--6704. ⟨hal-03254591v4⟩
  • Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, et al.. Choisir le bon co-équipier pour la génération coopérative de texte. TALN 2022 - 29e conférence sur le Traitement Automatique des Langues Naturelles, Jun 2022, Avignon, France. pp.12-26. ⟨hal-03701506⟩
  • 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⟩