Gaël Poëtte

Orcid: 0000-0002-2652-043X

According to our database1, Gaël Poëtte authored at least 17 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence.
CoRR, 2024

2023
Deterministic Neural Networks Optimization from a Continuous and Energy Point of View.
J. Sci. Comput., July, 2023

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

Multigroup-like MC resolution of generalised Polynomial Chaos reduced models of the uncertain linear Boltzmann equation (+discussion on hybrid intrusive/non-intrusive uncertainty propagation).
J. Comput. Phys., February, 2023

2022
Efficient uncertain <i>k</i><sub>eff</sub> computations with the Monte Carlo resolution of generalised Polynomial Chaos based reduced models.
J. Comput. Phys., 2022

Efficient uncertainty propagation for photonics: Combining Implicit Semi-analog Monte Carlo (ISMC) and Monte Carlo generalised Polynomial Chaos (MC-gPC).
J. Comput. Phys., 2022

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

2020
Spectral convergence of the generalized Polynomial Chaos reduced model obtained from the uncertain linear Boltzmann equation.
Math. Comput. Simul., 2020

A new Implicit Monte-Carlo scheme for photonics (without teleportation error and without tilts).
J. Comput. Phys., 2020

2019
A gPC-intrusive Monte-Carlo scheme for the resolution of the uncertain linear Boltzmann equation.
J. Comput. Phys., 2019

Contribution to the Mathematical and numerical Analysis of uncertain Systems of conservation Laws and of the linear and nonlinear Boltzmann equation. (Contribution a l'analyse Mathematique et numerique des systemes de lois de conservation incertains et de l'equation de Boltzmann Lineaire et non-Lineaire).
, 2019

2018
An Unsplit Monte-Carlo solver for the resolution of the linear Boltzmann equation coupled to (stiff) Bateman equations.
J. Comput. Phys., 2018

2015
Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution.
SIAM J. Numer. Anal., 2015

2013
Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method.
Proceedings of the Uncertainty Quantification in Computational Fluid Dynamics, 2013

2012
Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics.
J. Comput. Phys., 2012

2009
Uncertainty quantification for systems of conservation laws.
J. Comput. Phys., 2009


  Loading...