Alena Kopanicáková

32 papers Journal 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Introduction to optimization methods for training SciML models. CoRR Alena Kopanicáková, Elisa Riccietti
2026	J	`jnl`	Layer-Parallel Training for Transformers. CoRR Shuai Jiang, Marc Salvadó-Benasco, Eric C. Cyr, Alena Kopanicáková, Rolf Krause, Jacob B. Schroder
2026	J	`jnl`	Multi-Preconditioned LBFGS for Training Finite-Basis PINNs. CoRR Marc Salvadó-Benasco, Aymane Kssim, Alexander Heinlein, Rolf Krause, Serge Gratton, Alena Kopanicáková
2025	J	`jnl`	Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method. CoRR Samuel A. Cruz Alegría, Ken Trotti, Alena Kopanicáková, Rolf Krause
2025	J	`jnl`	DeepONet Based Preconditioning Strategies for Solving Parametric Linear Systems of Equations. SIAM J. Sci. Comput. Alena Kopanicáková, George Em Karniadakis
2025	J	`jnl`	Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method. CoRR Alena Kopanicáková, Youngkyu Lee, George Em Karniadakis
2025	J	`jnl`	Recursive Bound-Constrained AdaGrad with Applications to Multilevel and Domain Decomposition Minimization. CoRR Serge Gratton, Alena Kopanicáková, Philippe L. Toint
2025	J	`jnl`	Trust-Region Methods with Low-Fidelity Objective Models. CoRR Andrea Angino, Matteo Aurina, Alena Kopanicáková, Matthias Voigt, Marco Donatelli, Rolf Krause
2024	J	`jnl`	Blending neural operators and relaxation methods in PDE numerical solvers. Nat. Mac. Intell. Enrui Zhang, Adar Kahana, Alena Kopanicáková, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis
2024	J	`jnl`	DeepOnet Based Preconditioning Strategies For Solving Parametric Linear Systems of Equations. CoRR Alena Kopanicáková, George Em Karniadakis
2024	J	`jnl`	Enhancing Training of Physics-Informed Neural Networks Using Domain Decomposition-Based Preconditioning Strategies. SIAM J. Sci. Comput. Alena Kopanicáková, Hardik Kothari, George E. Karniadakis, Rolf Krause
2024	J	`jnl`	The limitations of a standard phase-field model in reproducing jointing in sedimentary rock layers. CoRR Edoardo Pezzulli, Patrick Zulian, Alena Kopanicáková, Rolf Krause, Thomas Driesner
2024	J	`jnl`	Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications. CoRR Youngkyu Lee, Alena Kopanicáková, George Em Karniadakis
2024	J	`jnl`	Two-level trust-region method with random subspaces. CoRR Andrea Angino, Alena Kopanicáková, Rolf Krause
2023	J	`jnl`	Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies. CoRR Alena Kopanicáková, Hardik Kothari, George Em Karniadakis, Rolf Krause
2023	J	`jnl`	Globally Convergent Multilevel Training of Deep Residual Networks. SIAM J. Sci. Comput. Alena Kopanicáková, Rolf Krause
2023	J	`jnl`	Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training. CoRR Serge Gratton, Alena Kopanicáková, Philippe L. Toint
2023	J	`jnl`	Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training. SIAM J. Optim. Serge Gratton, Alena Kopanicáková, Philippe L. Toint
2023	J	`jnl`	Parallel Trust-Region Approaches in Neural Network Training: Beyond Traditional Methods. CoRR Ken Trotti, Samuel A. Cruz Alegría, Alena Kopanicáková, Rolf Krause
2022	J	`jnl`	Nonlinear Field-split Preconditioners for Solving Monolithic Phase-field Models of Brittle Fracture. CoRR Alena Kopanicáková, Hardik Kothari, Rolf Krause
2022	J	`jnl`	Nonlinear Schwarz preconditioning for nonlinear optimization problems with bound constraints. CoRR Hardik Kothari, Alena Kopanicáková, Rolf Krause
2022	J	`jnl`	On the use of hybrid coarse-level models in multilevel minimization methods. CoRR Alena Kopanicáková
2021	J	`jnl`	A Matrix-free Multigrid Preconditioner for Jacobian-free Newton-Krylov Methods. CoRR Hardik Kothari, Alena Kopanicáková, Rolf Krause
2021	J	`jnl`	Globally Convergent Multilevel Training of Deep Residual Networks. CoRR Alena Kopanicáková, Rolf Krause
2021	J	`jnl`	Large scale simulation of pressure induced phase-field fracture propagation using Utopia. CCF Trans. High Perform. Comput. Patrick Zulian, Alena Kopanicáková, Maria Giuseppina Chiara Nestola, Andreas Fink, Nur Aiman Fadel, Joost VandeVondele, Rolf Krause
2021	J	`jnl`	Multilevel Active-Set Trust-Region (MASTR) Method for Bound Constrained Minimization. CoRR Alena Kopanicáková, Rolf Krause
2021	J	`jnl`	Training of deep residual networks with stochastic MG/OPT. CoRR Cyrill von Planta, Alena Kopanicáková, Rolf Krause
2020	J	`jnl`	A Multilevel Approach to Training. CoRR Vanessa Braglia, Alena Kopanicáková, Rolf Krause
2020	J	`jnl`	Large scale simulation of pressure induced phase-field fracture propagation using Utopia. CoRR Patrick Zulian, Alena Kopanicáková, Maria Giuseppina Chiara Nestola, Andreas Fink, Nur Aiman Fadel, Joost VandeVondele, Rolf Krause
2020	J	`jnl`	Multilevel Minimization for Deep Residual Networks. CoRR Lisa Gaedke-Merzhäuser, Alena Kopanicáková, Rolf Krause
2019	J	`jnl`	Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture. CoRR Alena Kopanicáková, Rolf Krause
2019	J	`jnl`	Subdivision-Based Nonlinear Multiscale Cloth Simulation. SIAM J. Sci. Comput. Alena Kopanicáková, Rolf Krause, Rasmus Tamstorf