Convergence analysis of the Generalized Empirical Interpolation Method. - Yvon Maday; Olga Mula; Gabriel Turinici (SIAM J. Numer. Anal., 2016)

Sensor placement in nuclear reactors based on the generalized empirical interpolation method. - Jean-Philippe Argaud; Bertrand Bouriquet; F. de Caso; Helin Gong; Yvon Maday; Olga Mula (J. Comput. Phys., 2018)

Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models. - Peter Binev; Albert Cohen 002; Olga Mula; James A. Nichols (SIAM/ASA J. Uncertain. Quantification, 2018)

PBDW method for state estimation: error analysis for noisy data and nonlinear formulation. - Helin Gong; Yvon Maday; Olga Mula; Tommaso Taddei (CoRR, 2019)

Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces. - Virginie Ehrlacher; Damiano Lombardi; Olga Mula; François-Xavier Vialard (CoRR, 2019)

Reconstructing Haemodynamics Quantities of Interest from Doppler Ultrasound Imaging. - Felipe Galarce; Damiano Lombardi; Olga Mula (CoRR, 2020)

Depth-Adaptive Neural Networks from the Optimal Control viewpoint. - Joubine Aghili; Olga Mula (CoRR, 2020)

Epidemiological short-term Forecasting with Model Reduction of Parametric Compartmental Models. Application to the first pandemic wave of COVID-19 in France. - Athmane Bakhta; Thomas Boiveau; Yvon Maday; Olga Mula (CoRR, 2020)

An adaptive parareal algorithm. - Yvon Maday; Olga Mula (J. Comput. Appl. Math., 2020)

An adaptive nested source term iteration for radiative transfer equations. - Wolfgang Dahmen; Felix Gruber; Olga Mula (Math. Comput., 2020)

Optimal Reduced Model Algorithms for Data-Based State Estimation. - Albert Cohen 002; Wolfgang Dahmen; Ronald A. DeVore; Jalal Fadili; Olga Mula; James A. Nichols (SIAM J. Numer. Anal., 2020)

Linear and Nonlinear Schemes for Forward and Inverse Problems. - Olga Mula (2021)

Inverse Problems: A Deterministic Approach using Physics-Based Reduced Models. - Olga Mula (CoRR, 2022)

Waserstein model reduction approach for parametrized flow problems in porous media. - Beatrice Battisti; Tobias Blickhan; Guillaume Enchéry; Virginie Ehrlacher; Damiano Lombardi; Olga Mula (CoRR, 2022)

Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems. - A. Beguinet; Virginie Ehrlacher; R. Flenghi; M. Fuente; Olga Mula; Agustín Somacal (CoRR, 2022)

Nonlinear approximation spaces for inverse problems. - Albert Cohen 002; Matthieu Dolbeault; Olga Mula; Agustín Somacal (CoRR, 2022)

Impact of physical model error on State Estimation for neutronics applications. - Y. Conjungo Taumhas; D. Labeurthre; François Madiot; Olga Mula; T. Taddei (CoRR, 2022)

Nonlinear Reduced Models for State and Parameter Estimation. - Albert Cohen 002; Wolfgang Dahmen; Olga Mula; James A. Nichols (SIAM/ASA J. Uncertain. Quantification, 2022)

State Estimation with Model Reduction and Shape Variability. Application to biomedical problems. - Felipe Galarce; Damiano Lombardi; Olga Mula (SIAM J. Sci. Comput., 2022)

Approximation and Structured Prediction with Sparse Wasserstein Barycenters. - Minh-Hieu Do; Jean Feydy; Olga Mula (CoRR, 2023)

Accuracy Controlled Schemes for the Eigenvalue Problem of the Radiative Transfer Equation. - Wolfgang Dahmen; Olga Mula (CoRR, 2023)

Predicting Cascading Failures with a Hyperparametric Diffusion Model. - Bin Xiang; Bogdan Cautis; Xiaokui Xiao; Olga Mula; Dusit Niyato; Laks V. S. Lakshmanan (KDD, 2024)

A Dynamical Neural Galerkin Scheme for Filtering Problems. - Joubine Aghili; Joy Zialesi Atokple; Marie Billaud Friess; Guillaume Garnier; Olga Mula; Norbert Tognon (CoRR, 2024)

High order recovery of geometric interfaces from cell-average data. - Albert Cohen 002; Olga Mula; Agustín Somacal (CoRR, 2024)

State estimation of urban air pollution with statistical, physical, and super-learning graph models. - Matthieu Dolbeault; Olga Mula; Agustín Somacal (CoRR, 2024)

Tree-Based Nonlinear Reduced Modeling. - Diane Guignard; Olga Mula (CoRR, 2024)

An optimal control framework for adaptive neural ODEs. - Joubine Aghili; Olga Mula (Adv. Comput. Math., 2024)

Moment-SoS methods for optimal transport problems. - Olga Mula; Anthony Nouy (Numerische Mathematik, 2024)

Towards a real-time simulation of elastoplastic deformation using multi-task neural networks. - Ruben Schmeitz; Joris J. C. Remmers; Olga Mula; Olaf van der Sluis (Adv. Model. Simul. Eng. Sci., 2024)

Optimal Transport on the Lie Group of Roto-translations. - Daan L. J. Bon; Gautam Pai 001; Gijs Bellaard; Olga Mula; Remco Duits (SIAM J. Imaging Sci., 2025)

Dynamical Approximation and Sensor Placement for Filtering Problems. - Olga Mula; Cecilia Pagliantini; Federico Vismara (SIAM J. Sci. Comput., 2025)

Sparse Wasserstein Barycenters and Application to Reduced Order Modeling. - Minh-Hieu Do; Jean Feydy; Olga Mula (J. Sci. Comput., 2025)

Stable Nonlinear Dynamical Approximation with Dynamical Sampling. - Daan L. J. Bon; Benjamin Caris; Olga Mula (CoRR, 2025)