Stéphane Gaudreault

According to our database, Stéphane Gaudreault authored at least 20 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Thermodynamically Constrained Information Geometric Regularization for Compressible Flows.

Seth Taylor, Raymond J. Spiteri, Stéphane Gaudreault

CoRR, April, 2026

Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting.

Carlos A. Pereira, Stéphane Gaudreault, Valentin Dallerit, Christopher Subich, Shoyon Panday, Siqi Wei, Sasa Zhang, Siddharth Rout, Eldad Haber, Raymond J. Spiteri, David Millard, Emilia Diaconescu

CoRR, January, 2026

A second-order semi-Lagrangian backward differentiation formula with Picard iterations (PICSL) for the spherical shallow-water equations.

Stéphane Gaudreault, Tanya V. Tafolla, Jean-François Cossette, Michel Desgagné, Mayya Tokman

J. Comput. Phys., 2026

Low-synchronization Arnoldi algorithms with application to exponential integrators.

Tanya V. Tafolla, Stéphane Gaudreault, Mayya Tokman

J. Comput. Appl. Math., 2026

2025

Characteristic Bending in Incompressible Flows.

Matthew Blomquist, Stéphane Gaudreault, Maxime Theillard

CoRR, December, 2025

Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data.

Siddharth Rout, Eldad Haber, Stéphane Gaudreault

CoRR, August, 2025

DEF: Diffusion-augmented Ensemble Forecasting.

David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri

CoRR, June, 2025

Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data.

Siddharth Rout, Eldad Haber, Stéphane Gaudreault

CoRR, March, 2025

PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning.

David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri

CoRR, January, 2025

Augmented MGS-CGS Block-Arnoldi Recycling Solvers.

Stephen J. Thomas, Allison H. Baker, Stéphane Gaudreault

SIAM J. Sci. Comput., 2025

2024

Second-order Rosenbrock-exponential (ROSEXP) methods for partitioned differential equations.

Valentin Dallerit, Tommaso Buvoli, Mayya Tokman, Stéphane Gaudreault

Numer. Algorithms, July, 2024

Low-synchronization Arnoldi Methods for the Matrix Exponential with Application to Exponential Integrators.

Tanya V. Tafolla, Stéphane Gaudreault, Mayya Tokman

CoRR, 2024

Challenges in computing matrix functions.

Massimiliano Fasi, Stéphane Gaudreault, Kathryn Lund, Marcel Schweitzer

CoRR, 2024

Data-Driven Initial Guess Selection for Numerical Weather Prediction Solvers.

David Millard, Arielle Carr, Stéphane Gaudreault

Proceedings of the IEEE International Conference on Big Data, 2024

Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics.

David Millard, Arielle Carr, Stéphane Gaudreault

Proceedings of the IEEE International Conference on Big Data, 2024

2022

High-order numerical solutions to the shallow-water equations on the rotated cubed-sphere grid.

Stéphane Gaudreault, Martin Charron, Valentin Dallerit, Mayya Tokman

J. Comput. Phys., 2022

2021

Corrigendum to "KIOPS: A fast adaptive Krylov subspace solver for exponential integrators" [J. Comput. Phys. 372 (2018) 236-255].

Stéphane Gaudreault, Greg Rainwater, Mayya Tokman

J. Comput. Phys., 2021

2018

KIOPS: A fast adaptive Krylov subspace solver for exponential integrators.

Stéphane Gaudreault, Greg Rainwater, Mayya Tokman

J. Comput. Phys., 2018

2016

An efficient exponential time integration method for the numerical solution of the shallow water equations on the sphere.

Stéphane Gaudreault, Janusz A. Pudykiewicz

J. Comput. Phys., 2016

2005

A framework for the verification of air quality forecasting models using self-organizing feature maps.

Xavier Guilbeault, Stéphane Gaudreault, Louis-Philippe Crevier, Joel Martin

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005