Didier Lucor - RankMe

26 papers Misc 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fusion of heterogeneous data for robust degradation prognostics. Reliab. Eng. Syst. Saf. Edgar Jaber, Emmanuel Remy, Vincent Chabridon, Mathilde Mougeot, Didier Lucor
2026	J	`jnl`	New Bayesian optimisation framework for robust multi-objective design: decoupling performance and uncertainty. Reliab. Eng. Syst. Saf. Hao Zhou, Zhongzheng Wang, Didier Lucor, Emilie Sauret
2025	J	`jnl`	AutoEncoders latent space interpretability in the light of proper orthogonal decomposition: Machine learning of periodically forced fluid flows. Comput. Phys. Commun. Rémi Bousquet, Caroline Nore, Didier Lucor
2025	J	`jnl`	Sequential learning based PINNs to overcome temporal domain complexities in unsteady flow past flapping wings. CoRR Rahul Sundar, Didier Lucor, Sunetra Sarkar
2024	J	`jnl`	Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite
2024	J	`jnl`	Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients. CoRR Rahul Sundar, Didier Lucor, Sunetra Sarkar
2023	J	`jnl`	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 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
2023	J	`jnl`	Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR 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
2023	J	`jnl`	Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil. CoRR Rahul Sundar, Dipanjan Majumdar, Didier Lucor, Sunetra Sarkar
2022	J	`jnl`	Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection. J. Comput. Phys. Didier Lucor, Atul Agrawal, Anne Sergent
2021	J	`jnl`	Observation data compression for variational assimilation of dynamical systems. CoRR Sibo Cheng, Didier Lucor, Jean-Philippe Argaud
2021	J	`jnl`	Observation data compression for variational assimilation of dynamical systems. J. Comput. Sci. Sibo Cheng, Didier Lucor, Jean-Philippe Argaud
2021	J	`jnl`	Physics-aware deep neural networks for surrogate modeling of turbulent natural convection. CoRR Didier Lucor, Atul Agrawal, Anne Sergent
2019	J	`jnl`	Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. CoRR Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot
2019	—	`conf`	Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging. CinC 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
2018	J	`jnl`	Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations. J. Comput. Phys. J. Van Langenhove, Didier Lucor, Frédéric Alauzet, Anca Belme
2017	—	`conf`	Relative Aortic Blood Pressure Using 4D Flow MRI: Associations with Age and Aortic Tapering. CinC 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
2015	J	`jnl`	Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution. SIAM J. Numer. Anal. Gaël Poëtte, Alexandre Birolleau, Didier Lucor
2013	—	`ch.`	Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method. Uncertainty Quantification in Computational Fluid Dynamics Bruno Després, Gaël Poëtte, Didier Lucor
2013	—	`book`	Uncertainty Quantification in Computational Fluid Dynamics Hester Bijl, Didier Lucor, Siddhartha Mishra, Christoph Schwab
2012	J	`jnl`	Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics. J. Comput. Phys. Gaël Poëtte, Didier Lucor
2009	J	`jnl`	Uncertainty quantification for systems of conservation laws. J. Comput. Phys. Gaël Poëtte, Bruno Després, Didier Lucor
2006	J	`jnl`	Covariance kernel representations of multidimensional second-order stochastic processes. J. Comput. Phys. Chau-Hsing Su, Didier Lucor
2004	J	`jnl`	Adaptive Generalized Polynomial Chaos for Nonlinear Random Oscillators. SIAM J. Sci. Comput. Didier Lucor, George E. Karniadakis
2004	Misc	`conf`	Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes. International Conference on Computational Science Didier Lucor, Chau-Hsing Su, George E. Karniadakis
2003	Misc	`conf`	Performance Evaluation of Generalized Polynomial Chaos. International Conference on Computational Science Dongbin Xiu, Didier Lucor, Chau-Hsing Su, George E. Karniadakis