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Patrick Gallinari

MLIA

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models

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Jun 09, 2025
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ENMA: Tokenwise Autoregression for Generative Neural PDE Operators

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Jun 06, 2025
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UP-ROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows

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Mar 29, 2025
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SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation

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Feb 19, 2025
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GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

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Oct 31, 2024
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Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods

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Oct 09, 2024
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Probing Language Models on Their Knowledge Source

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Oct 08, 2024
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Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs

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Oct 04, 2024
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NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design

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Jun 30, 2024
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AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

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Jun 04, 2024
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