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• M. Bachmayr, M. Dolbeault and P. Sachsenmaier, Iterative thresholding low-rank time integration, preprint (2025) [arxiv] [hal] 

• Y. Alama Bronsard, X. Chen and M. Dolbeault,  Spectrally accurate fully discrete schemes for some nonlocal and nonlinear integrable PDEs via explicit formulas, to appear in Foundations of Computational Mathematics (2024) [arxiv] [hal]

• M. Dolbeault, O. Mula and A. Somacal, State estimation of urban air pollution with statistical, physical, and super-learning graph models, Advances in Computational Science and Engineering (2024) [arxiv] [hal] [published] 

• A. Chkifa and M. Dolbeault, Randomized least-squares with minimal oversampling and interpolation in general spaces, SIAM Journal on Numerical Analysis (2024) [arxiv] [hal] [published] 

• A. Cohen, W. Dahmen, M. Dolbeault and A. Somacal, Reduced order modeling for elliptic problems with high contrast diffusion coefficients, ESAIM: Mathematical Modelling and Numerical Analysis (2023) [arxiv]  [hal] [published]

• A. Cohen, M. Dolbeault, O. Mula and A. Somacal, Nonlinear approximation spaces for inverse problems, Analysis and Applications (2023) [arxiv] [hal] [published] 

• M. Dolbeault, D. Krieg and M. Ullrich, A sharp upper bound for sampling numbers in L², Applied and Computational Harmonic Analysis (2023) [arxiv] [hal] [published] 

• A. Cohen and M. Dolbeault, Optimal pointwise sampling for L² approximation, Journal of Complexity (2022) [arxiv] [hal] [published] 

• A. Cohen and M. Dolbeault, Optimal sampling and Christoffel functions on general domains, Constructive Approximation (2022) [arxiv]  [hal] [published]

• Analysis and Scientific Computing, École des Ponts ParisTech, Champs-sur-Marne, France, 2020-2021-2022

• Séries numériques et séries de fonctions, Sorbonne Université, Paris, France, 2020-2021