Patrick Gallinari

Sorbonne Université — France

Computer Science · Physical Sciences

34h-index5.9kcitations403works0.12yr avg
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Research Topics

Natural Language Processing Techniques(81), Topic Modeling(69), Text and Document Classification Technologies(56), Neural Networks and Applications(50), Web Data Mining and Analysis(36)

Publications403 total

Efficient Generative Transformer Operators For Million-Point PDEs
arXiv (Cornell University)·2025Open Access
Learning Physically Consistent Lagrangian Control Models Without Acceleration Measurements
arXiv (Cornell University)·2025Open Access
Uncertainty-aware and parametrized dynamic reduced-order model: Application to unsteady flows
Physical Review Fluids·2025Open Access
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
arXiv (Cornell University)·2025Open Access
ENMA: Tokenwise Autoregression for Generative Neural PDE Operators
arXiv (Cornell University)·2025Open Access
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows
arXiv (Cornell University)·2025Open Access
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
2025Open Access
GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
arXiv (Cornell University)·2024Open Access
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods
ArXiv.org·2024Open Access
Probing Language Models on Their Knowledge Source
arXiv (Cornell University)·2024Open Access
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
arXiv (Cornell University)·2024Open Access
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
arXiv (Cornell University)·2024· 1 citedOpen Access
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
arXiv (Cornell University)·2024Open Access
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
2024
Probing Language Models on Their Knowledge Source
2024Open Access
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
2024
Module-wise Training of Neural Networks via the Minimizing Movement Scheme
arXiv (Cornell University)·2023Open Access
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations
arXiv (Cornell University)·2023· 2 citedOpen Access
Adversarial Sample Detection Through Neural Network Transport Dynamics
arXiv (Cornell University)·2023Open Access
Stability of implicit neural networks for long-term forecasting in dynamical systems
arXiv (Cornell University)·2023· 2 citedOpen Access
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Frequent Co-authors

Ludovic Denoyer(12), Nicolas Usunier(7), Massih-Reza Amini(6), Benjamin Piwowarski(5), Éric Gaussier(3), Léon Bottou(3), Sheng Gao(3), Jun Guo(3), Sylvain Lamprier(3), Sylvie Thiria(3), Ioannis Partalas(2), Nicolas Baskiotis(2), Thierry Artières(2), Ion Androutsopoulos(2), Antoine Bordes(2), Hao Luo(2), Da Chen(2), Shantao Li(2), David Buffoni(2), Simon Bourigault(2)