Pietro Marco Congedo

According to our database1, Pietro Marco Congedo authored at least 20 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees).
J. Comput. Phys., February, 2024

2023
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning.
J. Sci. Comput., February, 2023

2022
Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty.
Reliab. Eng. Syst. Saf., 2022

Assessment of a Non-Conservative Four-Equation Multiphase System with Phase Transition.
J. Sci. Comput., 2022

2021
Variance Based Samples Weighting for Supervised Deep Learning.
CoRR, 2021

2020
Extension of AK-MCS for the efficient computation of very small failure probabilities.
Reliab. Eng. Syst. Saf., 2020

Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder.
J. Comput. Phys., 2020

A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials.
CoRR, 2020

2019
Surrogate-assisted Bounding-Box approach for optimization problems with tunable objectives fidelity.
J. Glob. Optim., 2019

Kriging-sparse Polynomial Dimensional Decomposition surrogate model with adaptive refinement.
J. Comput. Phys., 2019

2018
Novel algorithm using Active Metamodel Learning and Importance Sampling: Application to multiple failure regions of low probability.
J. Comput. Phys., 2018

2017
Towards a unified multiresolution scheme for treating discontinuities in differential equations with uncertainties.
Math. Comput. Simul., 2017

2016
A Novel Weakly-Intrusive Non-linear Multiresolution Framework for Uncertainty Quantification in Hyperbolic Partial Differential Equations.
J. Sci. Comput., 2016

Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation.
J. Comput. Phys., 2016

An adaptive strategy on the error of the objective functions for uncertainty-based derivative-free optimization.
J. Comput. Phys., 2016

2015
Stochastic Discrete Equation Method (sDEM) for two-phase flows.
J. Comput. Phys., 2015

2014
A one-time truncate and encode multiresolution stochastic framework.
J. Comput. Phys., 2014

2013
A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems.
J. Comput. Phys., 2013

A simplex-based numerical framework for simple and efficient robust design optimization.
Comput. Optim. Appl., 2013

2007
Analysis and Optimization of Dense gas flows: Application to organic Rankine cycles turbines.
PhD thesis, 2007


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