Didier Lucor

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 13

Top Topics

Dynamical Systems

Data Assimilation

Agent Environment

Top Venues

J. Comput. Phys.

SIAM J. Numer. Anal.

Publications

Rahul Sundar, Didier Lucor, Sunetra Sarkar
Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients. CoRR (2024)
Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR (2024)
Rahul Sundar, Dipanjan Majumdar, Didier Lucor, Sunetra Sarkar
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil. CoRR (2023)
Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR (2023)
Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10 (6) (2023)
Didier Lucor, Atul Agrawal, Anne Sergent
Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection. J. Comput. Phys. 456 (2022)
Sibo Cheng, Didier Lucor, Jean-Philippe Argaud
Observation data compression for variational assimilation of dynamical systems. CoRR (2021)
Sibo Cheng, Didier Lucor, Jean-Philippe Argaud
Observation data compression for variational assimilation of dynamical systems. J. Comput. Sci. 53 (2021)
Didier Lucor, Atul Agrawal, Anne Sergent
Physics-aware deep neural networks for surrogate modeling of turbulent natural convection. CoRR (2021)
Kevin Bouaou, Thomas Dietenbeck, Gilles Soulat, Sophia Houriez--Gombaud-Saintonge, Ioannis Bargiotas, Alain De Cesare, Umit Gencer, Alain Giron, Alban Redheuil, Emilie Bollache, Didier Lucor, Élie Mousseaux, Nadjia Kachenoura
Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging. CinC (2019)
Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. CoRR (2019)
J. Van Langenhove, Didier Lucor, Frédéric Alauzet, Anca Belme
Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations. J. Comput. Phys. 374 (2018)
Kevin Bouaou, Ioannis Bargiotas, Damian Craiem, Gilles Soulat, Thomas Dietenbeck, Sophia Houriez--Gombaud-Saintonge, Alain De Cesare, Umit Gencer, Alain Giron, Alban Redheuil, Didier Lucor, Élie Mousseaux, Nadjia Kachenoura
Relative Aortic Blood Pressure Using 4D Flow MRI: Associations with Age and Aortic Tapering. CinC (2017)
Gaël Poëtte, Alexandre Birolleau, Didier Lucor
Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution. SIAM J. Numer. Anal. 53 (3) (2015)
Gaël Poëtte, Didier Lucor
Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics. J. Comput. Phys. 231 (9) (2012)
Gaël Poëtte, Bruno Després, Didier Lucor
Uncertainty quantification for systems of conservation laws. J. Comput. Phys. 228 (7) (2009)
Chau-Hsing Su, Didier Lucor
Covariance kernel representations of multidimensional second-order stochastic processes. J. Comput. Phys. 217 (1) (2006)
Didier Lucor, Chau-Hsing Su, George E. Karniadakis
Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes. International Conference on Computational Science (2004)
Didier Lucor, George E. Karniadakis
Adaptive Generalized Polynomial Chaos for Nonlinear Random Oscillators. SIAM J. Sci. Comput. 26 (2) (2004)
Dongbin Xiu, Didier Lucor, Chau-Hsing Su, George E. Karniadakis
Performance Evaluation of Generalized Polynomial Chaos. International Conference on Computational Science (2003)