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Books and Theses
- 2021
[b1]Olga Mula:
Linear and Nonlinear Schemes for Forward and Inverse Problems. Paris Dauphine University, France, 2021
Journal Articles
- 2024
- [j10]Joubine Aghili
, Olga Mula:
An optimal control framework for adaptive neural ODEs. Adv. Comput. Math. 50(3): 52 (2024) - [j9]Olga Mula, Anthony Nouy:
Moment-SoS methods for optimal transport problems. Numerische Mathematik 156(4): 1541-1578 (2024) - 2022
- [j8]Albert Cohen, Wolfgang Dahmen, Olga Mula, James A. Nichols:
Nonlinear Reduced Models for State and Parameter Estimation. SIAM/ASA J. Uncertain. Quantification 10(1): 227-267 (2022) - [j7]Felipe Galarce, Damiano Lombardi, Olga Mula:
State Estimation with Model Reduction and Shape Variability. Application to biomedical problems. SIAM J. Sci. Comput. 44(1): 805- (2022) - 2020
- [j6]Yvon Maday, Olga Mula:
An adaptive parareal algorithm. J. Comput. Appl. Math. 377: 112915 (2020) - [j5]Wolfgang Dahmen, Felix Gruber, Olga Mula:
An adaptive nested source term iteration for radiative transfer equations. Math. Comput. 89(324): 1605-1646 (2020) - [j4]Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore, Jalal Fadili, Olga Mula, James A. Nichols:
Optimal Reduced Model Algorithms for Data-Based State Estimation. SIAM J. Numer. Anal. 58(6): 3355-3381 (2020) - 2018
- [j3]Jean-Philippe Argaud, Bertrand Bouriquet, F. de Caso, Helin Gong, Yvon Maday, Olga Mula:
Sensor placement in nuclear reactors based on the generalized empirical interpolation method. J. Comput. Phys. 363: 354-370 (2018) - [j2]Peter Binev, Albert Cohen, Olga Mula, James A. Nichols:
Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models. SIAM/ASA J. Uncertain. Quantification 6(3): 1101-1126 (2018) - 2016
- [j1]Yvon Maday, Olga Mula, Gabriel Turinici:
Convergence analysis of the Generalized Empirical Interpolation Method. SIAM J. Numer. Anal. 54(3): 1713-1731 (2016)
Conference and Workshop Papers
- 2024
- [c1]Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan:
Predicting Cascading Failures with a Hyperparametric Diffusion Model. KDD 2024: 3495-3506
Informal and Other Publications
- 2024
- [i23]Joubine Aghili, Joy Zialesi Atokple, Marie Billaud Friess, Guillaume Garnier, Olga Mula, Norbert Tognon:
A Dynamical Neural Galerkin Scheme for Filtering Problems. CoRR abs/2401.17748 (2024) - [i22]Albert Cohen, Olga Mula, Agustín Somacal:
High order recovery of geometric interfaces from cell-average data. CoRR abs/2402.00946 (2024) - [i21]Matthieu Dolbeault, Olga Mula, Agustín Somacal:
State estimation of urban air pollution with statistical, physical, and super-learning graph models. CoRR abs/2402.02812 (2024) - [i20]Daan L. J. Bon, Gautam Pai, Gijs Bellaard, Olga Mula, Remco Duits:
Optimal Transport on the Lie Group of Roto-translations. CoRR abs/2402.15322 (2024) - [i19]Diane Guignard, Olga Mula:
Tree-Based Nonlinear Reduced Modeling. CoRR abs/2404.12262 (2024) - [i18]Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan:
Predicting Cascading Failures with a Hyperparametric Diffusion Model. CoRR abs/2406.08522 (2024) - 2023
- [i17]Minh-Hieu Do, Jean Feydy, Olga Mula:
Approximation and Structured Prediction with Sparse Wasserstein Barycenters. CoRR abs/2302.05356 (2023) - [i16]Wolfgang Dahmen, Olga Mula:
Accuracy Controlled Schemes for the Eigenvalue Problem of the Radiative Transfer Equation. CoRR abs/2307.07780 (2023) - [i15]Olga Mula, Cecilia Pagliantini, Federico Vismara:
Dynamical approximation and sensor placement for filtering problems. CoRR abs/2312.12353 (2023) - 2022
- [i14]Olga Mula:
Inverse Problems: A Deterministic Approach using Physics-Based Reduced Models. CoRR abs/2203.07769 (2022) - [i13]Beatrice Battisti, Tobias Blickhan, Guillaume Enchéry, Virginie Ehrlacher, Damiano Lombardi, Olga Mula:
Waserstein model reduction approach for parametrized flow problems in porous media. CoRR abs/2205.02721 (2022) - [i12]A. Beguinet, Virginie Ehrlacher, R. Flenghi, M. Fuente, Olga Mula, Agustín Somacal:
Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems. CoRR abs/2205.04779 (2022) - [i11]Albert Cohen, Matthieu Dolbeault, Olga Mula, Agustín Somacal:
Nonlinear approximation spaces for inverse problems. CoRR abs/2209.09314 (2022) - [i10]Olga Mula, Anthony Nouy:
Moment-SoS Methods for Optimal Transport Problems. CoRR abs/2211.10742 (2022) - [i9]Y. Conjungo Taumhas, D. Labeurthre, François Madiot, Olga Mula, T. Taddei:
Impact of physical model error on State Estimation for neutronics applications. CoRR abs/2212.01655 (2022) - 2021
- [i8]Felipe Galarce, Damiano Lombardi, Olga Mula:
State Estimation with Model Reduction and Shape Variability. Application to biomedical problems. CoRR abs/2106.09421 (2021) - 2020
- [i7]Felipe Galarce, Damiano Lombardi, Olga Mula:
Reconstructing Haemodynamics Quantities of Interest from Doppler Ultrasound Imaging. CoRR abs/2006.04174 (2020) - [i6]Joubine Aghili, Olga Mula:
Depth-Adaptive Neural Networks from the Optimal Control viewpoint. CoRR abs/2007.02428 (2020) - [i5]Albert Cohen, Wolfgang Dahmen, Olga Mula, James A. Nichols:
Nonlinear reduced models for state and parameter estimation. CoRR abs/2009.02687 (2020) - [i4]Athmane Bakhta, Thomas Boiveau, Yvon Maday, Olga Mula:
Epidemiological short-term Forecasting with Model Reduction of Parametric Compartmental Models. Application to the first pandemic wave of COVID-19 in France. CoRR abs/2009.09200 (2020) - 2019
- [i3]Helin Gong, Yvon Maday, Olga Mula, Tommaso Taddei:
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation. CoRR abs/1906.00810 (2019) - [i2]Virginie Ehrlacher, Damiano Lombardi, Olga Mula, François-Xavier Vialard:
Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces. CoRR abs/1909.06626 (2019) - [i1]Yvon Maday, Olga Mula:
An Adaptive Parareal Algorithm. CoRR abs/1909.08333 (2019)
Coauthor Index
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