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ORCIDPietro Marco Congedo
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2020 – today
- 2024
[j17]Paul Novello
, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo:
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). J. Comput. Phys. 498: 112700 (2024)- 2023
- [j16]Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo:
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. J. Sci. Comput. 94(3): 45 (2023) - 2022
- [j15]Paola Bacigaluppi, Julien Carlier, Marica Pelanti, Pietro Marco Congedo, Rémi Abgrall:
Assessment of a Non-Conservative Four-Equation Multiphase System with Phase Transition. J. Sci. Comput. 90(1): 28 (2022) - [j14]Mickael Rivier, Pietro Marco Congedo:
Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty. Reliab. Eng. Syst. Saf. 217: 108039 (2022) - [i5]Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo:
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. CoRR abs/2207.06216 (2022) - [i4]Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo:
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). CoRR abs/2209.13434 (2022) - 2021
- [i3]Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo:
Variance Based Samples Weighting for Supervised Deep Learning. CoRR abs/2101.07561 (2021) - [i2]Paola Bacigaluppi, Julien Carlier, Marica Pelanti, Pietro Marco Congedo, Rémi Abgrall:
Assessment of a non-conservative four-equation multiphase system with phase transition. CoRR abs/2105.12874 (2021) - 2020
- [j13]Andrea F. Cortesi, Paul G. Constantine, Thierry E. Magin, Pietro Marco Congedo:
Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder. J. Comput. Phys. 407: 109079 (2020) - [j12]Nassim Razaaly, Pietro Marco Congedo:
Extension of AK-MCS for the efficient computation of very small failure probabilities. Reliab. Eng. Syst. Saf. 203: 107084 (2020) - [i1]Anabel del Val, Olivier P. Le Maître, Olivier Chazot, Thierry E. Magin, Pietro Marco Congedo:
A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials. CoRR abs/2010.04649 (2020)
2010 – 2019
- 2019
- [j11]Andrea F. Cortesi, Ghina Jannoun, Pietro Marco Congedo:
Kriging-sparse Polynomial Dimensional Decomposition surrogate model with adaptive refinement. J. Comput. Phys. 380: 212-242 (2019) - [j10]Mickael Rivier, Pietro Marco Congedo:
Surrogate-assisted Bounding-Box approach for optimization problems with tunable objectives fidelity. J. Glob. Optim. 75(4): 1079-1109 (2019) - 2018
- [j9]Nassim Razaaly, Pietro Marco Congedo:
Novel algorithm using Active Metamodel Learning and Importance Sampling: Application to multiple failure regions of low probability. J. Comput. Phys. 368: 92-114 (2018) - 2017
- [j8]Rémi Abgrall, Pietro Marco Congedo, Gianluca Geraci:
Towards a unified multiresolution scheme for treating discontinuities in differential equations with uncertainties. Math. Comput. Simul. 139: 1-22 (2017) - 2016
- [j7]Francesca Fusi, Pietro Marco Congedo:
An adaptive strategy on the error of the objective functions for uncertainty-based derivative-free optimization. J. Comput. Phys. 309: 241-266 (2016) - [j6]Kunkun Tang, Pietro Marco Congedo, Rémi Abgrall:
Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation. J. Comput. Phys. 314: 557-589 (2016) - [j5]Gianluca Geraci, Pietro Marco Congedo, Rémi Abgrall, Gianluca Iaccarino:
A Novel Weakly-Intrusive Non-linear Multiresolution Framework for Uncertainty Quantification in Hyperbolic Partial Differential Equations. J. Sci. Comput. 66(1): 358-405 (2016) - 2015
- [j4]Rémi Abgrall, Pietro Marco Congedo, Gianluca Geraci, Maria Giovanna Rodio:
Stochastic Discrete Equation Method (sDEM) for two-phase flows. J. Comput. Phys. 299: 281-306 (2015) - 2014
- [j3]Rémi Abgrall, Pietro Marco Congedo, Gianluca Geraci:
A one-time truncate and encode multiresolution stochastic framework. J. Comput. Phys. 257: 19-56 (2014) - 2013
- [j2]Pietro Marco Congedo, Jeroen A. S. Witteveen, Gianluca Iaccarino:
A simplex-based numerical framework for simple and efficient robust design optimization. Comput. Optim. Appl. 56(1): 231-251 (2013) - [j1]Rémi Abgrall, Pietro Marco Congedo:
A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems. J. Comput. Phys. 235: 828-845 (2013)
2000 – 2009
- 2007
- [b1]Pietro Marco Congedo:
Analysis and Optimization of Dense gas flows: Application to organic Rankine cycles turbines. University of Salento, Lecce, Italy, 2007
Coauthor Index
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