Home » Teams » MLIA » Thomas Wang

  • Thomas Wang

  • PhD Student
  • Équipe: MLIA

Publications

  • Louis Serrano, Thomas X Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari. AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Dec 2024, Vancouver, Canada. ⟨10.48550/arXiv.2406.02176⟩. ⟨hal-04761005⟩
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  • Louis Serrano, Armand Kassaï Koupaï, Thomas Wang, Pierre Erbacher, Patrick Gallinari. Zebra: In-Context Generative Pretraining for Solving Parametric PDEs. ICML 2025, Jul 2025, Vancouver (BC), Canada. ⟨10.48550/arXiv.2410.03437⟩. ⟨hal-05234209⟩
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  • Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin, et al.. Operator Learning with Neural Fields: Tackling PDEs on General Geometries. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans (Louisiana), United States. pp.70581-70611. ⟨hal-04702535⟩
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  • 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⟩
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  • Christian R Marshall, Daniel P Howrigan, Daniele Merico, Bhooma Thiruvahindrapuram, Wenting Wu, et al.. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nature Genetics, 2017, 49 (1), pp.27 - 35. ⟨10.1038/ng.3725⟩. ⟨hal-04589228⟩
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