Stéphane Gaudreault

21 papers B 3Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A second-order semi-Lagrangian backward differentiation formula with Picard iterations (PICSL) for the spherical shallow-water equations.
J. Comput. Phys.
Stéphane Gaudreault, Tanya V. Tafolla, Jean-François Cossette, Michel Desgagné, Mayya Tokman
2026 J jnl
Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting.
CoRR
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
2026 J jnl
Low-synchronization Arnoldi algorithms with application to exponential integrators.
J. Comput. Appl. Math.
Tanya V. Tafolla, Stéphane Gaudreault, Mayya Tokman
2025 J jnl
Augmented MGS-CGS Block-Arnoldi Recycling Solvers.
SIAM J. Sci. Comput.
Stephen J. Thomas, Allison H. Baker, Stéphane Gaudreault
2025 J jnl
Characteristic Bending in Incompressible Flows.
CoRR
Matthew Blomquist, Stéphane Gaudreault, Maxime Theillard
2025 J jnl
DEF: Diffusion-augmented Ensemble Forecasting.
CoRR
David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri
2025 J jnl
Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data.
CoRR
Siddharth Rout, Eldad Haber, Stéphane Gaudreault
2025 J jnl
PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning.
CoRR
David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri
2025 J jnl
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data.
CoRR
Siddharth Rout, Eldad Haber, Stéphane Gaudreault
2024 J jnl
Challenges in computing matrix functions.
CoRR
Massimiliano Fasi, Stéphane Gaudreault, Kathryn Lund, Marcel Schweitzer
2024 B conf
Data-Driven Initial Guess Selection for Numerical Weather Prediction Solvers.
IEEE Big Data
David Millard, Arielle Carr, Stéphane Gaudreault
2024 B conf
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics.
IEEE Big Data
David Millard, Arielle Carr, Stéphane Gaudreault
2024 J jnl
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics.
CoRR
David Millard, Arielle Carr, Stéphane Gaudreault
2024 J jnl
Low-synchronization Arnoldi Methods for the Matrix Exponential with Application to Exponential Integrators.
CoRR
Tanya V. Tafolla, Stéphane Gaudreault, Mayya Tokman
2024 J jnl
Second-order Rosenbrock-exponential (ROSEXP) methods for partitioned differential equations.
Numer. Algorithms
Valentin Dallerit, Tommaso Buvoli, Mayya Tokman, Stéphane Gaudreault
2022 J jnl
High-order numerical solutions to the shallow-water equations on the rotated cubed-sphere grid.
J. Comput. Phys.
Stéphane Gaudreault, Martin Charron, Valentin Dallerit, Mayya Tokman
2021 J jnl
Corrigendum to "KIOPS: A fast adaptive Krylov subspace solver for exponential integrators" [J. Comput. Phys. 372 (2018) 236-255].
J. Comput. Phys.
Stéphane Gaudreault, Greg Rainwater, Mayya Tokman
2021 J jnl
High-order numerical solutions to the shallow-water equations on the rotated cubed-sphere grid.
CoRR
Stéphane Gaudreault, Martin Charron, Valentin Dallerit, Mayya Tokman
2018 J jnl
KIOPS: A fast adaptive Krylov subspace solver for exponential integrators.
J. Comput. Phys.
Stéphane Gaudreault, Greg Rainwater, Mayya Tokman
2016 J jnl
An efficient exponential time integration method for the numerical solution of the shallow water equations on the sphere.
J. Comput. Phys.
Stéphane Gaudreault, Janusz A. Pudykiewicz
2005 B conf
A framework for the verification of air quality forecasting models using self-organizing feature maps.
IJCNN
Xavier Guilbeault, Stéphane Gaudreault, Louis-Philippe Crevier, Joel Martin