Fabio Nobile

About Fabio Nobile

Fabio Nobile, With an exceptional h-index of 49 and a recent h-index of 34 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of numerical analysis, uncertainty quantification, fluid structure interaction, cardiovascuar, finite elements.

His recent articles reflect a diverse array of research interests and contributions to the field:

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

Parametric Reduced Order Model Of A Gas Bearings Supported Rotor

A multigrid solver for PDE-constrained optimization with uncertain inputs

Dynamically Orthogonal Approximation for Stochastic Differential Equations

A multigrid method for PDE-constrained optimization with uncertain inputs

Density estimation in RKHS with application to Korobov spaces in high dimensions

Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method

Editorial of CEMRACS 2021

Fabio Nobile Information

University

Position

MATH - CSQI (EPFL)

Citations(all)

13406

Citations(since 2020)

4628

Cited By

10819

hIndex(all)

49

hIndex(since 2020)

34

i10Index(all)

104

i10Index(since 2020)

94

Email

University Profile Page

Google Scholar

Fabio Nobile Skills & Research Interests

numerical analysis

uncertainty quantification

fluid structure interaction

cardiovascuar

finite elements

Top articles of Fabio Nobile

Title

Journal

Author(s)

Publication Date

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

arXiv preprint arXiv:2402.03586

Fabio Nobile

Thomas Trigo Trindade

2024/2/5

Parametric Reduced Order Model Of A Gas Bearings Supported Rotor

Journal of Engineering for Gas Turbines and Power

Dimitri Goutaudier

Jüurg Schiffmann

Fabio Nobile

2024/1/1

A multigrid solver for PDE-constrained optimization with uncertain inputs

arXiv preprint arXiv:2302.13680

Gabriele Ciaramella

Fabio Nobile

Tommaso Vanzan

2023/2/27

Dynamically Orthogonal Approximation for Stochastic Differential Equations

arXiv preprint arXiv:2308.11581

Yoshihito Kazashi

Fabio Nobile

Fabio Zoccolan

2023/8/22

A multigrid method for PDE-constrained optimization with uncertain inputs

Gabriele Ciaramella

Fabio Nobile

Tommaso Vanzan

2023/2/27

Density estimation in RKHS with application to Korobov spaces in high dimensions

SIAM Journal on Numerical Analysis

Yoshihito Kazashi

Fabio Nobile

2023/4/30

Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method

Journal of Computational Physics

Sundar Ganesh

Fabio Nobile

2023/12/15

Editorial of CEMRACS 2021

Virginie Ehrlacher

Damiano Lombardi

Olga Mula

Fabio Nobile

Tommaso Taddei

2023

Analysis of a class of multilevel Markov chain Monte Carlo algorithms based on independent Metropolis–Hastings

SIAM/ASA Journal on Uncertainty Quantification

Juan P Madrigal-Cianci

Fabio Nobile

Raul Tempone

2023/3/31

Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas

arXiv preprint arXiv:2310.03657

Pål Forr Austnes

Celia García-Pareja

Fabio Nobile

Mario Paolone

2023/10/5

A component-based data assimilation strategy with applications to vascular flows

ESAIM: Proceedings and Surveys

Duc-Quang Bui

Pierre Mollo

Fabio Nobile

Tommaso Taddei

2023

Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

arXiv preprint arXiv:2303.05390

Celia García-Pareja

Fabio Nobile

2023/3/8

A new method to interpolate POD reduced bases–Application to the parametric model order reduction of a gas bearings supported rotor

International Journal for Numerical Methods in Engineering

Dimitri Goutaudier

Fabio Nobile

Jürg Schiffmann

2023/9/30

QUANTIFYING UNCERTAIN SYSTEM OUTPUTS VIA THE MULTI-LEVEL MONTE CARLO METHOD− DISTRIBUTION AND ROBUSTNESS MEASURES

International Journal for Uncertainty Quantification

Quentin Ayoul-Guilmard

Sundar Ganesh

Sebastian Krumscheid

Fabio Nobile

2023

Preconditioners for robust optimal control problems under uncertainty

Numerical linear algebra with applications

Fabio Nobile

Tommaso Vanzan

2023/3

Louis-Pierre Chaintron, Álvaro Mateos González 2, Laurent Mertz 3 and Philippe Moireau 4

ESAIM: PROCEEDINGS

Virginie Ehrlacher

Damiano Lombardi

Olga Mula

Fabio Nobile

Tommaso Taddei

2023/9

Stable high-order randomized cubature formulae in arbitrary dimension

Journal of Approximation Theory

Giovanni Migliorati

Fabio Nobile

2022/3/1

Uncertainty quantification by multilevel Monte Carlo and local time-stepping for wave propagation

SIAM/ASA Journal on Uncertainty Quantification

Marcus J Grote

Simon Michel

Fabio Nobile

2022/12/31

Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification

Numerische Mathematik

Vesa Kaarnioja

Yoshihito Kazashi

Frances Y Kuo

Fabio Nobile

Ian H Sloan

2022/1/31

A technique for non-intrusive greedy piecewise-rational model reduction of frequency response problems over wide frequency bands

Journal of Mathematics in Industry

Davide Pradovera

Fabio Nobile

2022/12

See List of Professors in Fabio Nobile University(École Polytechnique Fédérale de Lausanne)