| A generalized empirical interpolation method: application of reduced basis techniques to data assimilation Y Maday, O Mula Analysis and numerics of partial differential equations, 221-235, 2013 | 151 | 2013 |
| The generalized empirical interpolation method: stability theory on Hilbert spaces with an application to the Stokes equation Y Maday, O Mula, AT Patera, M Yano Computer Methods in Applied Mechanics and Engineering 287, 310-334, 2015 | 106 | 2015 |
| Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces V Ehrlacher, D Lombardi, O Mula, FX Vialard ESAIM: Mathematical Modelling and Numerical Analysis 54 (6), 2159-2197, 2020 | 77 | 2020 |
| Sensor placement in nuclear reactors based on the generalized empirical interpolation method JP Argaud, B Bouriquet, F De Caso, H Gong, Y Maday, O Mula Journal of Computational Physics 363, 354-370, 2018 | 76 | 2018 |
| Convergence analysis of the generalized empirical interpolation method Y Maday, O Mula, G Turinici SIAM Journal on Numerical Analysis 54 (3), 1713-1731, 2016 | 65 | 2016 |
| Greedy algorithms for optimal measurements selection in state estimation using reduced models P Binev, A Cohen, O Mula, J Nichols SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1101-1126, 2018 | 53 | 2018 |
| Stabilization of (G) EIM in presence of measurement noise: application to nuclear reactor physics JP Argaud, B Bouriquet, H Gong, Y Maday, O Mula Spectral and High Order Methods for Partial Differential Equations ICOSAHOM …, 2017 | 48 | 2017 |
| Optimal reduced model algorithms for data-based state estimation A Cohen, W Dahmen, R DeVore, J Fadili, O Mula, J Nichols SIAM Journal on Numerical Analysis 58 (6), 3355-3381, 2020 | 39 | 2020 |
| An Adaptive Parareal Algorithm Y Maday, O Mula Journal of Computational and Applied Mathematics 377, 2020 | 39 | 2020 |
| Epidemiological forecasting with model reduction of compartmental models. application to the COVID-19 pandemic A Bakhta, T Boiveau, Y Maday, O Mula Biology 10 (1), 22, 2020 | 35 | 2020 |
| PBDW method for state estimation: error analysis for noisy data and nonlinear formulation H Gong, Y Maday, O Mula, T Taddei arXiv preprint arXiv:1906.00810, 2019 | 35 | 2019 |
| An adaptive nested source term iteration for radiative transfer equations W Dahmen, F Gruber, O Mula Mathematics of Computation 89 (324), 1605-1646, 2020 | 34 | 2020 |
| Some contributions towards the parallel simulation of time dependent neutron transport and the integration of observed data in real time O Mula Paris VI, 2014 | 26* | 2014 |
| Nonlinear reduced models for state and parameter estimation A Cohen, W Dahmen, O Mula, J Nichols SIAM/ASA Journal on Uncertainty Quantification 10 (1), 227-267, 2022 | 25 | 2022 |
| Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models F Galarce, JF Gerbeau, D Lombardi, O Mula Computer Methods in Applied Mechanics and Engineering 375, 113559, 2021 | 24* | 2021 |
| The parareal in time algorithm applied to the kinetic neutron diffusion equation AM Baudron, JJ Lautard, Y Maday, O Mula Domain decomposition methods in science and engineering XXI, 437-445, 2014 | 24 | 2014 |
| Reconstructing haemodynamics quantities of interest from Doppler ultrasound imaging F Galarce, D Lombardi, O Mula International Journal for Numerical Methods in Biomedical Engineering 37 (2 …, 2021 | 20 | 2021 |
| State estimation with model reduction and shape variability. Application to biomedical problems F Galarce, D Lombardi, O Mula SIAM Journal on Scientific Computing 44 (3), B805-B833, 2022 | 19 | 2022 |
| Wasserstein model reduction approach for parametrized flow problems in porous media B Battisti, T Blickhan, G Enchery, V Ehrlacher, D Lombardi, O Mula ESAIM: Proceedings and Surveys 73, 28-47, 2023 | 18 | 2023 |
| A priori convergence of the Generalized Empirical Interpolation Method. Y Maday, O Mula, G Turinici 10th international conference on Sampling Theory and Applications (SampTA …, 2013 | 17 | 2013 |
madayProfesseur de mathématiques appliquées, Université Pierre et Marie Curie, Laboratoire J.-L. LionsEmail confirmado em ann.jussieu.fr
