Pietro Marco Congedo

23 papers Journal 22
YearRankTypeTitle / Venue / Authors
2024 J jnl
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees).
J. Comput. Phys.
Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo
2023 J jnl
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning.
J. Sci. Comput.
Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2022 J jnl
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees).
CoRR
Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo
2022 J jnl
Assessment of a Non-Conservative Four-Equation Multiphase System with Phase Transition.
J. Sci. Comput.
Paola Bacigaluppi, Julien Carlier, Marica Pelanti, Pietro Marco Congedo, Rémi Abgrall
2022 J jnl
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning.
CoRR
Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2022 J jnl
Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty.
Reliab. Eng. Syst. Saf.
Mickael Rivier, Pietro Marco Congedo
2021 J jnl
Assessment of a non-conservative four-equation multiphase system with phase transition.
CoRR
Paola Bacigaluppi, Julien Carlier, Marica Pelanti, Pietro Marco Congedo, Rémi Abgrall
2021 J jnl
Variance Based Samples Weighting for Supervised Deep Learning.
CoRR
Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2020 J jnl
A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials.
CoRR
Anabel del Val, Olivier P. Le Maître, Olivier Chazot, Thierry E. Magin, Pietro Marco Congedo
2020 J jnl
Extension of AK-MCS for the efficient computation of very small failure probabilities.
Reliab. Eng. Syst. Saf.
Nassim Razaaly, Pietro Marco Congedo
2020 J jnl
Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder.
J. Comput. Phys.
Andrea F. Cortesi, Paul G. Constantine, Thierry E. Magin, Pietro Marco Congedo
2019 J jnl
Kriging-sparse Polynomial Dimensional Decomposition surrogate model with adaptive refinement.
J. Comput. Phys.
Andrea F. Cortesi, Ghina Jannoun, Pietro Marco Congedo
2019 J jnl
Surrogate-assisted Bounding-Box approach for optimization problems with tunable objectives fidelity.
J. Glob. Optim.
Mickael Rivier, Pietro Marco Congedo
2018 J jnl
Novel algorithm using Active Metamodel Learning and Importance Sampling: Application to multiple failure regions of low probability.
J. Comput. Phys.
Nassim Razaaly, Pietro Marco Congedo
2017 J jnl
Towards a unified multiresolution scheme for treating discontinuities in differential equations with uncertainties.
Math. Comput. Simul.
Rémi Abgrall, Pietro Marco Congedo, Gianluca Geraci
2016 J jnl
A Novel Weakly-Intrusive Non-linear Multiresolution Framework for Uncertainty Quantification in Hyperbolic Partial Differential Equations.
J. Sci. Comput.
Gianluca Geraci, Pietro Marco Congedo, Rémi Abgrall, Gianluca Iaccarino
2016 J jnl
Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation.
J. Comput. Phys.
Kunkun Tang, Pietro Marco Congedo, Rémi Abgrall
2016 J jnl
An adaptive strategy on the error of the objective functions for uncertainty-based derivative-free optimization.
J. Comput. Phys.
Francesca Fusi, Pietro Marco Congedo
2015 J jnl
Stochastic Discrete Equation Method (sDEM) for two-phase flows.
J. Comput. Phys.
Rémi Abgrall, Pietro Marco Congedo, Gianluca Geraci, Maria Giovanna Rodio
2014 J jnl
A one-time truncate and encode multiresolution stochastic framework.
J. Comput. Phys.
Rémi Abgrall, Pietro Marco Congedo, Gianluca Geraci
2013 J jnl
A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems.
J. Comput. Phys.
Rémi Abgrall, Pietro Marco Congedo
2013 J jnl
A simplex-based numerical framework for simple and efficient robust design optimization.
Comput. Optim. Appl.
Pietro Marco Congedo, Jeroen A. S. Witteveen, Gianluca Iaccarino
2007 — —
Analysis and Optimization of Dense gas flows: Application to organic Rankine cycles turbines.
Pietro Marco Congedo