Josselin Garnier | DeepAI

DeepAI AI Chat

Featured Co-authors

Ali Siahkoohi
23 publications
Maarten V. de Hoop
13 publications
Alexander V. Mamonov
11 publications
Jörn Zimmerling
8 publications
Liliana Borcea
8 publications
Anne Dutfoy
6 publications
Guillaume Perrin
6 publications
Jean-Marc Martinez
5 publications
Houssem Haddar
5 publications
Angèle Niclas
5 publications
Cyril Feau
4 publications

∙ 07/28/2023

Automated approach for source location in shallow waters

This paper proposes a fully automated method for recovering the location...

0 Angèle Niclas, et al. ∙

∙ 05/28/2023

Conditional score-based diffusion models for Bayesian inference in infinite dimensions

Since their first introduction, score-based diffusion models (SDMs) have...

0 Lorenzo Baldassari, et al. ∙

∙ 02/14/2023

Reference prior for Bayesian estimation of seismic fragility curves

One of the crucial quantities of probabilistic seismic risk assessment s...

0 Antoine Van Biesbroeck, et al. ∙

∙ 02/12/2023

When data driven reduced order modeling meets full waveform inversion

Waveform inversion is concerned with estimating a heterogeneous medium, ...

0 Liliana Borcea, et al. ∙

∙ 11/04/2022

Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis

In a fissile material, the inherent multiplicity of neutrons born throug...

0 Paul Lartaud, et al. ∙

∙ 10/27/2022

The linear sampling method for random sources

We present an extension of the linear sampling method for solving the so...

0 Josselin Garnier, et al. ∙

∙ 10/12/2022

Uncertainty quantification and global sensitivity analysis of seismic fragility curves using kriging

Seismic fragility curves have been introduced as key components of Seism...

0 Clement Gauchy, et al. ∙

∙ 09/17/2022

Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process

Piecewise deterministic Markov processes (PDMPs) can be used to model co...

0 Guillaume Chennetier, et al. ∙

∙ 08/23/2022

Waveform inversion with a data driven estimate of the internal wave

We study an inverse problem for the wave equation, concerned with estima...

0 Liliana Borcea, et al. ∙

∙ 08/02/2022

Velocity estimation via model order reduction

A novel approach to full waveform inversion (FWI), based on a data drive...

0 Alexander V. Mamonov, et al. ∙

∙ 05/29/2022

Heterogeneous Treatment Effects Estimation: When Machine Learning meets multiple treatment regime

In many scientific and engineering domains, inferring the effect of trea...

7 Naoufal Acharki, et al. ∙

∙ 02/03/2022

Waveform inversion via reduced order modeling

We introduce a novel approach to waveform inversion, based on a data dri...

0 Liliana Borcea, et al. ∙

∙ 09/09/2021

Adaptive importance sampling for seismic fragility curve estimation

As part of Probabilistic Risk Assessment studies, it is necessary to stu...

9 Clement Gauchy, et al. ∙

∙ 08/03/2021

Reduced order model approach for imaging with waves

We introduce a novel, computationally inexpensive approach for imaging w...

0 Liliana Borcea, et al. ∙

∙ 06/09/2021

Robust Prediction Interval estimation for Gaussian Processes by Cross-Validation method

Probabilistic regression models typically use the Maximum Likelihood Est...

0 Naoufal Acharki, et al. ∙

∙ 08/05/2020

Low-frequency source imaging in an acoustic waveguide

Time-harmonic far-field source array imaging in a two-dimensional wavegu...

0 Josselin Garnier, et al. ∙

∙ 09/25/2018

Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines

Fragility curves which express the failure probability of a structure, o...

0 Rémi Sainct, et al. ∙

∙ 12/05/2017

Efficient sequential experimental design for surrogate modeling of nested codes

Thanks to computing power increase, the certification and the conception...

0 Sophie Marque-Pucheu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world