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ORCIDAlena Kopanicáková
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Journal Articles
- 2023
[j4]Serge Gratton, Alena Kopanicáková
, Philippe L. Toint:
Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training. SIAM J. Optim. 33(4): 2772-2800 (2023)- [j3]Alena Kopanicáková, Rolf Krause:
Globally Convergent Multilevel Training of Deep Residual Networks. SIAM J. Sci. Comput. 45(3): S254-S280 (2023) - 2021
- [j2]Patrick Zulian, Alena Kopanicáková, Maria Giuseppina Chiara Nestola, Andreas Fink, Nur Aiman Fadel, Joost VandeVondele, Rolf Krause:
Large scale simulation of pressure induced phase-field fracture propagation using Utopia. CCF Trans. High Perform. Comput. 3(4): 407-426 (2021) - 2019
- [j1]Alena Kopanicáková, Rolf Krause, Rasmus Tamstorf:
Subdivision-Based Nonlinear Multiscale Cloth Simulation. SIAM J. Sci. Comput. 41(5): S433-S461 (2019)
Informal and Other Publications
- 2024
- [i18]Alena Kopanicáková, George Em Karniadakis:
DeepOnet Based Preconditioning Strategies For Solving Parametric Linear Systems of Equations. CoRR abs/2401.02016 (2024) - [i17]Youngkyu Lee, Alena Kopanicáková, George Em Karniadakis:
Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications. CoRR abs/2406.10997 (2024) - [i16]Edoardo Pezzulli, Patrick Zulian, Alena Kopanicáková, Rolf Krause, Thomas Driesner:
The limitations of a standard phase-field model in reproducing jointing in sedimentary rock layers. CoRR abs/2408.14449 (2024) - [i15]Andrea Angino, Alena Kopanicáková, Rolf Krause:
Two-level trust-region method with random subspaces. CoRR abs/2409.05479 (2024) - 2023
- [i14]Serge Gratton, Alena Kopanicáková, Philippe L. Toint:
Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training. CoRR abs/2302.07049 (2023) - [i13]Alena Kopanicáková, Hardik Kothari, George Em Karniadakis, Rolf Krause:
Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies. CoRR abs/2306.17648 (2023) - [i12]Ken Trotti, Samuel A. Cruz Alegría, Alena Kopanicáková, Rolf Krause:
Parallel Trust-Region Approaches in Neural Network Training: Beyond Traditional Methods. CoRR abs/2312.13677 (2023) - 2022
- [i11]Alena Kopanicáková, Hardik Kothari, Rolf Krause:
Nonlinear Field-split Preconditioners for Solving Monolithic Phase-field Models of Brittle Fracture. CoRR abs/2203.13738 (2022) - [i10]Hardik Kothari, Alena Kopanicáková, Rolf Krause:
Nonlinear Schwarz preconditioning for nonlinear optimization problems with bound constraints. CoRR abs/2211.14780 (2022) - [i9]Alena Kopanicáková:
On the use of hybrid coarse-level models in multilevel minimization methods. CoRR abs/2211.15078 (2022) - 2021
- [i8]Hardik Kothari, Alena Kopanicáková, Rolf Krause:
A Matrix-free Multigrid Preconditioner for Jacobian-free Newton-Krylov Methods. CoRR abs/2103.13890 (2021) - [i7]Alena Kopanicáková, Rolf Krause:
Multilevel Active-Set Trust-Region (MASTR) Method for Bound Constrained Minimization. CoRR abs/2103.14552 (2021) - [i6]Alena Kopanicáková, Rolf Krause:
Globally Convergent Multilevel Training of Deep Residual Networks. CoRR abs/2107.07572 (2021) - [i5]Cyrill von Planta, Alena Kopanicáková, Rolf Krause:
Training of deep residual networks with stochastic MG/OPT. CoRR abs/2108.04052 (2021) - 2020
- [i4]Lisa Gaedke-Merzhäuser, Alena Kopanicáková, Rolf Krause:
Multilevel Minimization for Deep Residual Networks. CoRR abs/2004.06196 (2020) - [i3]Vanessa Braglia, Alena Kopanicáková, Rolf Krause:
A Multilevel Approach to Training. CoRR abs/2006.15602 (2020) - [i2]Patrick Zulian, Alena Kopanicáková, Maria Giuseppina Chiara Nestola, Andreas Fink, Nur Aiman Fadel, Joost VandeVondele, Rolf Krause:
Large scale simulation of pressure induced phase-field fracture propagation using Utopia. CoRR abs/2007.12908 (2020) - 2019
- [i1]Alena Kopanicáková, Rolf Krause:
Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture. CoRR abs/1903.00379 (2019)
Coauthor Index
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