Arielle Carr

21 papers B 3C 2Misc 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
DEF: Diffusion-augmented Ensemble Forecasting.
CoRR
David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri
2025 J jnl
Improvements to Quantum Interior Point Method for Linear Optimization.
ACM Trans. Quantum Comput.
Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Brandon Augustino, Arielle Carr, Tamás Terlaky
2025 J jnl
PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning.
CoRR
David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri
2024 — conf
A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learning.
HPEC
Yuesheng Xu, Arielle Carr
2024 J jnl
A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learning.
CoRR
Yuesheng Xu, Arielle Carr
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
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective.
CoRR
Yixin Liu, Arielle Carr, Lichao Sun
2024 J jnl
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization.
CoRR
Ainara Garcia, Sihong Xie, Arielle Carr
2024 J jnl
Iterated Gauss-Seidel GMRES.
SIAM J. Sci. Comput.
Stephen J. Thomas, Erin Carson, Miroslav Rozlozník, Arielle Carr, Katarzyna Swirydowicz
2024 J jnl
Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs.
CoRR
Rishad Islam, Arielle Carr, Colin Jacobs
2023 C conf
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization.
ICMLA
Ainara Garcia, Sihong Xie, Arielle Carr
2022 C conf
A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning.
BDCAT
Sean Wang, Arielle Carr, Sihong Xie
2022 B conf
Efficient Multiple Objective Optimization for Fair Misinformation Detection.
IEEE Big Data
Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie
2022 J jnl
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection.
CoRR
Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie
2022 J jnl
Post-Modern GMRES.
CoRR
Stephen J. Thomas, Erin Carson, Miro Rozlozník, Arielle Carr, Kasia Swirydowicz
2022 Misc conf
Quantum-enhanced Regression Analysis Using State-of-the-art QLSAs and QIPMs.
SEC
Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Brandon Augustino, Tamás Terlaky, Arielle Carr
2021 J jnl
ILUT Smoothers for Hybrid C-AMG with Scaled Triangular Factors.
CoRR
Stephen J. Thomas, Arielle Carr, Kasia Swirydowicz, Marc Day
2021 J jnl
Neumann Series in GMRES and Algebraic Multigrid Smoothers.
CoRR
Stephen J. Thomas, Arielle Carr, Paul Mullowney, Ruipeng Li, Kasia Swirydowicz
2021 J jnl
Preconditioning Parametrized Linear Systems.
SIAM J. Sci. Comput.
Arielle Carr, Eric de Sturler, Serkan Gugercin