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Didier Lucor
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2020 – today
- 2024
- [i7]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 abs/2401.07733 (2024) - [i6]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 abs/2402.17346 (2024) - 2023
- [j9]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): 1361-1387 (2023) - [i5]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 abs/2303.10462 (2023) - [i4]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 abs/2306.13395 (2023) - 2022
- [j8]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: 111022 (2022) - 2021
- [j7]Sibo Cheng
, Didier Lucor, Jean-Philippe Argaud
:
Observation data compression for variational assimilation of dynamical systems. J. Comput. Sci. 53: 101405 (2021) - [i3]Didier Lucor, Atul Agrawal, Anne Sergent:
Physics-aware deep neural networks for surrogate modeling of turbulent natural convection. CoRR abs/2103.03565 (2021) - [i2]Sibo Cheng, Didier Lucor, Jean-Philippe Argaud:
Observation data compression for variational assimilation of dynamical systems. CoRR abs/2106.05427 (2021)
2010 – 2019
- 2019
- [c4]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: 1-4 - [i1]Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot:
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. CoRR abs/1910.09408 (2019) - 2018
- [j6]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: 384-412 (2018) - 2017
- [c3]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 - 2015
- [j5]Gaël Poëtte, Alexandre Birolleau, Didier Lucor:
Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution. SIAM J. Numer. Anal. 53(3): 1559-1584 (2015) - 2013
- [p1]Bruno Després, Gaël Poëtte, Didier Lucor:
Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method. Uncertainty Quantification in Computational Fluid Dynamics 2013: 105-149 - [e1]Hester Bijl, Didier Lucor, Siddhartha Mishra, Christoph Schwab:
Uncertainty Quantification in Computational Fluid Dynamics. Lecture Notes in Computational Science and Engineering 92, Springer 2013, ISBN 978-3-319-00884-4 [contents] - 2012
- [j4]Gaël Poëtte, Didier Lucor:
Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics. J. Comput. Phys. 231(9): 3587-3609 (2012)
2000 – 2009
- 2009
- [j3]Gaël Poëtte, Bruno Després, Didier Lucor:
Uncertainty quantification for systems of conservation laws. J. Comput. Phys. 228(7): 2443-2467 (2009) - 2006
- [j2]Chau-Hsing Su, Didier Lucor:
Covariance kernel representations of multidimensional second-order stochastic processes. J. Comput. Phys. 217(1): 82-99 (2006) - 2004
- [j1]Didier Lucor, George E. Karniadakis:
Adaptive Generalized Polynomial Chaos for Nonlinear Random Oscillators. SIAM J. Sci. Comput. 26(2): 720-735 (2004) - [c2]Didier Lucor, Chau-Hsing Su, George E. Karniadakis:
Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes. International Conference on Computational Science 2004: 827-834 - 2003
- [c1]Dongbin Xiu, Didier Lucor, Chau-Hsing Su, George E. Karniadakis:
Performance Evaluation of Generalized Polynomial Chaos. International Conference on Computational Science 2003: 346-354
Coauthor Index
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