Olga Mula

According to our database, Olga Mula authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimal Transport on the Lie Group of Roto-translations.

Daan L. J. Bon, Gautam Pai, Gijs Bellaard, Olga Mula, Remco Duits

CoRR, 2024

State estimation of urban air pollution with statistical, physical, and super-learning graph models.

Matthieu Dolbeault, Olga Mula, Agustín Somacal

CoRR, 2024

High order recovery of geometric interfaces from cell-average data.

Albert Cohen, Olga Mula, Agustín Somacal

CoRR, 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

2023

Dynamical approximation and sensor placement for filtering problems.

Olga Mula, Cecilia Pagliantini, Federico Vismara

CoRR, 2023

Accuracy Controlled Schemes for the Eigenvalue Problem of the Radiative Transfer Equation.

Wolfgang Dahmen, Olga Mula

CoRR, 2023

Approximation and Structured Prediction with Sparse Wasserstein Barycenters.

Minh-Hieu Do, Jean Feydy, Olga Mula

CoRR, 2023

2022

State Estimation with Model Reduction and Shape Variability. Application to biomedical problems.

Felipe Galarce, Damiano Lombardi, Olga Mula

SIAM J. Sci. Comput., February, 2022

Nonlinear Reduced Models for State and Parameter Estimation.

Albert Cohen, Wolfgang Dahmen, Olga Mula, James A. Nichols

SIAM/ASA J. Uncertain. Quantification, 2022

Moment-SoS Methods for Optimal Transport Problems.

Olga Mula, Anthony Nouy

CoRR, 2022

Nonlinear approximation spaces for inverse problems.

Albert Cohen, Matthieu Dolbeault, Olga Mula, Agustín Somacal

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

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

Inverse Problems: A Deterministic Approach using Physics-Based Reduced Models.

Olga Mula

CoRR, 2022

2021

Linear and Nonlinear Schemes for Forward and Inverse Problems.

Olga Mula

, 2021

2020

Optimal Reduced Model Algorithms for Data-Based State Estimation.

Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore, Jalal Fadili, Olga Mula, James A. Nichols

SIAM J. Numer. Anal., 2020

An adaptive nested source term iteration for radiative transfer equations.

Wolfgang Dahmen, Felix Gruber, Olga Mula

Math. Comput., 2020

An adaptive parareal algorithm.

Yvon Maday, Olga Mula

J. Comput. Appl. Math., 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

Depth-Adaptive Neural Networks from the Optimal Control viewpoint.

Joubine Aghili, Olga Mula

CoRR, 2020

Reconstructing Haemodynamics Quantities of Interest from Doppler Ultrasound Imaging.

Felipe Galarce, Damiano Lombardi, Olga Mula

CoRR, 2020

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

PBDW method for state estimation: error analysis for noisy data and nonlinear formulation.

Helin Gong, Yvon Maday, Olga Mula, Tommaso Taddei

CoRR, 2019

2018

Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models.

Peter Binev, Albert Cohen, Olga Mula, James A. Nichols

SIAM/ASA J. Uncertain. Quantification, 2018

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

2016

Convergence analysis of the Generalized Empirical Interpolation Method.

Yvon Maday, Olga Mula, Gabriel Turinici

SIAM J. Numer. Anal., 2016