Alena Kopanicáková

According to our database, Alena Kopanicáková authored at least 23 papers between 2019 and 2025.

Collaborative distances:

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

2025

Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method.

Alena Kopanicáková, Youngkyu Lee, George Em Karniadakis

CoRR, August, 2025

Recursive Bound-Constrained AdaGrad with Applications to Multilevel and Domain Decomposition Minimization.

Serge Gratton, Alena Kopanicáková, Philippe L. Toint

CoRR, July, 2025

Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method.

Samuel A. Cruz Alegría, Ken Trotti, Alena Kopanicáková, Rolf Krause

CoRR, February, 2025

DeepONet Based Preconditioning Strategies for Solving Parametric Linear Systems of Equations.

Alena Kopanicáková, George Em Karniadakis

SIAM J. Sci. Comput., 2025

2024

Enhancing Training of Physics-Informed Neural Networks Using Domain Decomposition-Based Preconditioning Strategies.

Alena Kopanicáková, Hardik Kothari, George E. Karniadakis, Rolf Krause

SIAM J. Sci. Comput., 2024

Blending neural operators and relaxation methods in PDE numerical solvers.

Enrui Zhang, Adar Kahana, Alena Kopanicáková, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis

Nat. Mac. Intell., 2024

Two-level trust-region method with random subspaces.

Andrea Angino, Alena Kopanicáková, Rolf Krause

CoRR, 2024

The limitations of a standard phase-field model in reproducing jointing in sedimentary rock layers.

Edoardo Pezzulli, Patrick Zulian, Alena Kopanicáková, Rolf Krause, Thomas Driesner

CoRR, 2024

Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications.

Youngkyu Lee, Alena Kopanicáková, George Em Karniadakis

CoRR, 2024

2023

Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training.

Serge Gratton, Alena Kopanicáková, Philippe L. Toint

SIAM J. Optim., December, 2023

Globally Convergent Multilevel Training of Deep Residual Networks.

Alena Kopanicáková, Rolf Krause

SIAM J. Sci. Comput., June, 2023

Parallel Trust-Region Approaches in Neural Network Training: Beyond Traditional Methods.

Ken Trotti, Samuel A. Cruz Alegría, Alena Kopanicáková, Rolf Krause

CoRR, 2023

2022

On the use of hybrid coarse-level models in multilevel minimization methods.

Alena Kopanicáková

CoRR, 2022

Nonlinear Schwarz preconditioning for nonlinear optimization problems with bound constraints.

Hardik Kothari, Alena Kopanicáková, Rolf Krause

CoRR, 2022

Nonlinear Field-split Preconditioners for Solving Monolithic Phase-field Models of Brittle Fracture.

Alena Kopanicáková, Hardik Kothari, Rolf Krause

CoRR, 2022

2021

Training of deep residual networks with stochastic MG/OPT.

Cyrill von Planta, Alena Kopanicáková, Rolf Krause

CoRR, 2021

Multilevel Active-Set Trust-Region (MASTR) Method for Bound Constrained Minimization.

Alena Kopanicáková, Rolf Krause

CoRR, 2021

A Matrix-free Multigrid Preconditioner for Jacobian-free Newton-Krylov Methods.

Hardik Kothari, Alena Kopanicáková, Rolf Krause

CoRR, 2021

Large scale simulation of pressure induced phase-field fracture propagation using Utopia.

Patrick Zulian, Alena Kopanicáková, Maria Giuseppina Chiara Nestola, Andreas Fink, Nur Aiman Fadel, Joost VandeVondele, Rolf Krause

CCF Trans. High Perform. Comput., 2021

2020

A Multilevel Approach to Training.

Vanessa Braglia, Alena Kopanicáková, Rolf Krause

CoRR, 2020

Multilevel Minimization for Deep Residual Networks.

Lisa Gaedke-Merzhäuser, Alena Kopanicáková, Rolf Krause

CoRR, 2020

2019

Subdivision-Based Nonlinear Multiscale Cloth Simulation.

Alena Kopanicáková, Rolf Krause, Rasmus Tamstorf

SIAM J. Sci. Comput., 2019

Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture.

Alena Kopanicáková, Rolf Krause

CoRR, 2019