MATh.en.JEANS
Introducing young people to mathematical research through teamwork on open-ended problems.
Introducing young people to mathematical research through teamwork on open-ended problems.
Published in Advances in Computational Mathematics, Volume 50, article number 32, (2024), 2024
Inverse problem, model order reduction, sparse approximation, randomized linear algebra.
Recommended citation: Nouy, A., Pasco, A. Dictionary-based model reduction for state estimation. Adv Comput Math 50, 32 (2024). https://doi.org/10.1007/s10444-024-10129-4
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Published in HAL, 2026
High-dimensional approximation, dimension reduction, inverse problems, random sketching, Poincaré inequality
Recommended citation: Pasco, A. (2026). Nonlinear dimension reduction for high dimensional approximation and inverse problems.
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Published in arXiv, 2026
High-dimensional approximation, Poincaré inequality, collective dimension reduction, structured dimension reduction, nonlinear feature learning, deviation inequalities.
Recommended citation: Pasco, A. and Nouy, A. (2025). Surrogate to Poincaré inequalities on manifolds for structured dimension reduction in nonlinear feature spaces. Preprint. doi:10.48550/arXiv.2602.01143
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Published in Information and Inference: A Journal of the IMA, Volume 15, Issue 1, March 2026, iaag005, 2026
High-dimensional approximation, Poincaré inequality, dimension reduction, nonlinear feature learning, deviation inequalities.
Recommended citation: Nouy, A. and Pasco, A. Information and Inference: A Journal of the IMA, Volume 15, Issue 1, March 2026, iaag005, https://doi.org/10.1093/imaiai/iaag005
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Published:
Model Reduction for parameterized PDEs: why and how ?
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Dictionary-based model reduction for state estimation.
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Dictionary-based model reduction for state estimation.
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Dictionary-based model reduction for state estimation.
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Dictionary-based model reduction for state estimation.
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Dictionary-based model reduction for state estimation.
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Structured Nonlinear Dimension Reduction Using Gradient Evaluations.
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Dimension reduction using Poincaré inequalities.
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Dictionary-based model reduction for state estimation.
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Reconstruction of a latent space from a redox signal.
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Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces.
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Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces.
Published:
Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces.
Published:
Nonlinear dimension reduction for high dimensional approximation and inverse problems.
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Random sketching of operators and application to learning preconditioners for model order reduction.
Undergraduate course and computer sessions, Ecole Centrale de Nantes, 2022
Teacher Assistant
Graduate students project supervision, Ecole Centrale de Nantes, 2023
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Undergraduate course, Ecole Centrale de Nantes, 2024
Teacher Assistant