Alena Kopaničáková

Selected publications

Recursive bound-constrained AdaGrad with applications to multilevel and domain decomposition minimization (2026), S. Gratton, A. Kopaničáková, P. Toint, arXiv:2507.11513 (Under minor revision) [Link] [BibTeX] [Preprint]

@article{gratton2025recursive,
  title={{Recursive bound-constrained AdaGrad with applications to multilevel and domain decomposition minimization}},
  author={Gratton, Serge and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Toint, Philippe},
  journal={arXiv preprint arXiv:2507.11513, Under minor revision},
  year={2025}
}

Deeponet based preconditioning strategies for solving parametric linear systems of equations (2025), A. Kopaničáková, G. Em Karniadakis, SIAM Journal on Scientific Computing [BibTeX] [Preprint]

@Article{Kopanicakova_2023p3,
  title={Deeponet based preconditioning strategies for solving parametric linear systems of equations},
  author={{Kopani\v{c}\'{a}kov\'{a}}, Alena and Karniadakis, George Em},
  journal={SIAM Journal on Scientific Computing},
  volume={47},
  number={1},
  pages={C151--C181},
  year={2025},
  publisher={SIAM}
}

Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies (2024), A. Kopaničáková, H. Kothari, G. Karniadakis, R. Krause, SIAM Journal on Scientific Computing [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2023b,
  author  = {{Kopani{\v{c}}{\'{a}}kov{\'{a}}},  Alena and Kothari, Hardik and Karniadakis, George and Krause, Rolf},
  title   = {{Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies.}},
  journal={SIAM Journal on Scientific Computing},
  pages={S46--S67},
  year={2024},
  publisher={SIAM},
  }

Blending Neural Operators and Relaxation Methods in PDE Numerical Solvers (2024), E. Zhang, A. Kahana, A. Kopaničáková, E. Turkel, R. Ranade, J. Pathak, G. Em Karniadakis, Nature Machine Inteligence [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2024p1,
author  = {Zhang, Enrui and Kahana, Adar and  {Kopani{\v c}{\'a}kov{\'a}},  Alena and Turkel, Eli and  Ranade, Rishikesh and Pathak, Jay and Karniadakis, George
Em},
title = {{Blending Neural Operators and Relaxation Methods in PDE Numerical Solvers}},
journal = {Nature Machine Inteligence},
note={  \href{https://www.nature.com/articles/s42256-024-00910-x}{\underline{Published article}}},
year = {2024},
note= {},
}

Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training (2023), S. Gratton, A. Kopaničáková, P. L. Toint, SIAM Journal on Optimization [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2023a,
  author = {Gratton, Serge and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Toint, Philippe L.},
  title = {Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training},
  journal = {SIAM Journal on Optimization},
  volume = {33},
  number = {4},
  pages = {2772-2800},
  year = {2023},
  doi = {10.1137/23M1553455},
  URL = {https://doi.org/10.1137/23M1553455}
  }

Submitted manuscripts (under review)

[P1] Recursive bound-constrained AdaGrad with applications to multilevel and domain decomposition minimization (2026), S. Gratton, A. Kopaničáková, P. Toint, arXiv:2507.11513 (Under minor revision) [BibTeX] [Preprint]

@article{gratton2025recursive,
  title={{Recursive bound-constrained AdaGrad with applications to multilevel and domain decomposition minimization}},
  author={Gratton, Serge and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Toint, Philippe},
  journal={arXiv preprint arXiv:2507.11513, Under minor revision},
  year={2025}
}

[P2] Introduction to optimization methods for training SciML models (2026), A. Kopaničáková, E. Riccetti, arXiv:2601.10222 (Accepted for publication) [BibTeX] [Preprint]

@article{submitted2,
  title={{Introduction to optimization methods for training SciML models}},
  author={{Kopani\v{c}\'{a}kov\'{a}}, Alena and Riccetti, Elisa},
  journal={arXiv preprint arXiv:2601.10222, Accepted for publication},
  year={2026}
}

[P3] Layer Parallel Training for Transformers (2026), S. Jiang, M. Salvado-Benasco, E. Cyr, A. Kopaničáková, R. Krause, J. Schroder, arXiv:2601.09026 (Accepted for publication) [BibTeX] [Preprint]

@article{submitted3,
  title={Layer Parallel Training for Transformers},
  author={Jiang, Shuai and Salvado-Benasco, Marc and Cyr, Eric and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Krause, Rolf and Schroder, Jacob},
  journal={arXiv preprint arXiv:2601.09026, Accepted for publication},
  year={2026}
}

[P4] Complexity of Adagrad and other first-order methods for nonconvex optimization problems with bound constraints (2026), S. Gratton, S. Jerad, A. Kopaničáková, P. Toint, Under review [BibTeX]

@article{submitted4,
  title={Complexity of Adagrad and other first-order methods for nonconvex optimization problems with bound constraints},
  author={Gratton, Serge and Jerad, Sadok and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Toint, Philippe},
  journal={Under review},
  year={2026}
}

[P5] Two-level domain-decomposition AdaGrad method for scalable training of graph neural networks (2026), L. Varnas, J. Herrmann, A. Heinlein, S. Gratton, A. Kopaničáková, arXiv:2608.22575 (Accepted for publication) [BibTeX] [Preprint]

@article{submitted5,
  title={Two-level domain-decomposition AdaGrad method for scalable training of graph neural networks},
  author={Varnas, Laurynas and Herrmann, Julien and Heinlein, Alexander and Gratton, Serge and {Kopani\v{c}\'{a}kov\'{a}}, Alena},
  journal={arXiv preprint arXiv:2608.22575, Accepted for publication},
  year={2026}
}

[P6] Trust-Region Methods with Low-Fidelity Objective Models (2025), A. Angino, M. Aurina, A. Kopaničáková, M. Voigt, M. Donatelli, R. Krause, arXiv:2511.00434 (Accepted for publication) [BibTeX] [Preprint]

@article{angino2025trust,
  title={Trust-Region Methods with Low-Fidelity Objective Models},
  author={Angino, Andrea and Aurina, Matteo and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Voigt, Matthias and Donatelli, Marco and Krause, Rolf},
  journal={arXiv preprint arXiv:2511.00434, Accepted for publication},
  year={2025}
}

[P7] Multi-Preconditioned LBFGS for Training Finite-Basis PINNs (2025), M. Salvado-Benasco, A. Kssim, A. Heinlein, R. Krause, S. Gratton, A. Kopaničáková, arXiv:2601.08709 (Accepted for publication) [BibTeX] [Preprint]

@article{submitted1,
  title={{Multi-Preconditioned LBFGS for Training Finite-Basis PINNs}},
  author={Salvado-Benasco, Marc and Kssim, Aymane and Heinlein, Alexander and Krause, Rolf and Gratton, Serge and {Kopani\v{c}\'{a}kov\'{a}}, Alena},
  journal={arXiv preprint arXiv:2601.08709, Accepted for publication},
  year={2025}
}

Publications in peer-reviewed journals and book chapters

[J1] Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications (2026), Y. Lee, A. Kopaničáková, G. Em Karniadakis, Computer Methods in Applied Mechanics and Engineering [BibTeX] [Preprint]

@Article{Kopanicakova_2024p2,
  title={Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications},
  author={Lee, Youngkyu and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Karniadakis, George Em},
  journal={Computer Methods in Applied Mechanics and Engineering},
  volume={448},
  pages={118400},
  year={2026},
  publisher={North-Holland}
}

[J2] Deeponet based preconditioning strategies for solving parametric linear systems of equations (2025), A. Kopaničáková, G. Em Karniadakis, SIAM Journal on Scientific Computing [BibTeX] [Preprint]

@Article{Kopanicakova_2023p3,
  title={Deeponet based preconditioning strategies for solving parametric linear systems of equations},
  author={{Kopani\v{c}\'{a}kov\'{a}}, Alena and Karniadakis, George Em},
  journal={SIAM Journal on Scientific Computing},
  volume={47},
  number={1},
  pages={C151--C181},
  year={2025},
  publisher={SIAM}
}

[J3] Leveraging operator learning to accelerate convergence of the preconditioned conjugate gradient method (2025), A. Kopaničáková, Y. Lee, G. Em Karniadakis, Machine Learning for Computational Science and Engineering [BibTeX]

@Article{Kopanicakova_2025p11,
  title={Leveraging operator learning to accelerate convergence of the preconditioned conjugate gradient method},
  author={{Kopani\v{c}\'{a}kov\'{a}}, Alena and Lee, Youngkyu and Karniadakis, George Em},
  journal={Machine Learning for Computational Science and Engineering},
  volume={1},
  number={2},
  pages={39},
  year={2025},
  publisher={Springer International Publishing Cham},
}

[J4] The Limitations of a Standard Phase-Field Model in Reproducing Jointing in Sedimentary Rock Layers (2025), E. Pezzulli, P. Zulian, A. Kopaničáková, R. Krause, T. Driesner, International Journal for Numerical and Analytical Methods in Geomechanics [BibTeX] [Preprint]

@Article{Kopanicakova_2023p4,
  title={The Limitations of a Standard Phase-Field Model in Reproducing Jointing in Sedimentary Rock Layers},
  author={Pezzulli, Edoardo and Zulian, Patrick and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf and Driesner, Thomas},
  journal={International Journal for Numerical and Analytical Methods in Geomechanics},
  year={2025}
}

[J5] Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies (2024), A. Kopaničáková, H. Kothari, G. Karniadakis, R. Krause, SIAM Journal on Scientific Computing [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2023b,
  author  = {{Kopani{\v{c}}{\'{a}}kov{\'{a}}},  Alena and Kothari, Hardik and Karniadakis, George and Krause, Rolf},
  title   = {{Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies.}},
  journal={SIAM Journal on Scientific Computing},
  pages={S46--S67},
  year={2024},
  publisher={SIAM},
  }

[J6] Blending Neural Operators and Relaxation Methods in PDE Numerical Solvers (2024), E. Zhang, A. Kahana, A. Kopaničáková, E. Turkel, R. Ranade, J. Pathak, G. Em Karniadakis, Nature Machine Inteligence [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2024p1,
author  = {Zhang, Enrui and Kahana, Adar and  {Kopani{\v c}{\'a}kov{\'a}},  Alena and Turkel, Eli and  Ranade, Rishikesh and Pathak, Jay and Karniadakis, George
Em},
title = {{Blending Neural Operators and Relaxation Methods in PDE Numerical Solvers}},
journal = {Nature Machine Inteligence},
note={  \href{https://www.nature.com/articles/s42256-024-00910-x}{\underline{Published article}}},
year = {2024},
note= {},
}

[J7] Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training (2023), S. Gratton, A. Kopaničáková, P. L. Toint, SIAM Journal on Optimization [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2023a,
  author = {Gratton, Serge and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Toint, Philippe L.},
  title = {Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training},
  journal = {SIAM Journal on Optimization},
  volume = {33},
  number = {4},
  pages = {2772-2800},
  year = {2023},
  doi = {10.1137/23M1553455},
  URL = {https://doi.org/10.1137/23M1553455}
  }

[J8] Nonlinear field-split preconditioners for solving monolithic phase-field models of brittle fracture (2023), A. Kopaničáková, H. Kothari, R. Krause, Computer Methods in Applied Mechanics and Engineering [Link] [BibTeX] [Preprint]

@article{Kopanicakova_2022a,
  title={Nonlinear field-split preconditioners for solving monolithic phase-field models of brittle fracture},
  author={{Kopani{\v c}{\'a}kov{\'a}}, Alena and Kothari, Hardik and Krause, Rolf},
  journal={Computer Methods in Applied Mechanics and Engineering},
  volume={403},
  pages={115733},
  year={2023},
  publisher={Elsevier},
}

[J9] Globally Convergent Multilevel Training of Deep Residual Networks (2022), A. Kopaničáková, R. Krause, SIAM Journal on Scientific Computing [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2021f,
  author  = {{Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf},
title = {{G}lobally {C}onvergent {M}ultilevel {T}raining of {D}eep {R}esidual {N}etworks},
journal = {SIAM Journal on Scientific Computing},
volume = {0},
number = {0},
pages = {S254-S280},
doi = {10.1137/21M1434076},
year = {2022},
}

[J10] A Phase-Field Approach to Pneumatic Fracture (2022), C. Bilgen, A. Kopaničáková, R. Krause, K. Weinberg [BibTeX]

@InProceedings{Kopanicakova_2022b,
author="Bilgen, Carola and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf and Weinberg, Kerstin",
editor="Schr{\"o}der, J{\"o}rg and Wriggers, Peter",
title="A Phase-Field Approach to Pneumatic Fracture",
bookTitle="Non-standard Discretisation Methods in Solid Mechanics",
year="2022",
pages="217--241",
}

[J11] Efficient Identification of Scars using Heterogeneous Model Hierarchies (2021), F. Chegini, A. Kopaničáková, R. Krause, M. Weiser, EP Europace [Link] [BibTeX]

@article{Kopanicakova_2020b,
   author={Chegini, Fatemeh and {Kopani{\v{c}}{\'{a}}kov{\'{a}}},  Alena and Krause, Rolf and Weiser, Martin},
  title={Efficient Identification of Scars using Heterogeneous Model Hierarchies},
  journal={EP Europace},
  volume={23},
  number={Supplement\_1},
  pages={i113--i122},
  year={2021},
  publisher={Oxford University Press},
}

[J12] Large scale simulation of pressure induced phase‐field fracture propagation using Utopia (2021), P. Zulian*, A. Kopaničáková*, M. G C Nestola, N. Fadel, A. Fink, J. VandeVondele, R. Krause, CCF Transactions on High Performance Computing [Link] [BibTeX]

@article{Kopanicakova_2021a,
    author = {Zulian*, Patrick and {Kopani{\v{c}}{\'a}kov{\'a}*},  Alena and Nestola, Maria G C and Fadel, Nur and Fink, Andreas and VandeVondele, Joost and Krause, Rolf},
    title = {Large scale simulation of pressure induced phase‐field fracture propagation using {U}topia},
    journal = {CCF Transactions on High Performance Computing},
    year = {2021},
    doi = {10.1007/s42514-021-00069-6},
    url = {https://doi.org/10.1007/s42514-021-00069-6},
    eprint = {https://doi.org/10.1007/s42514-021-00069-6},
}

[J13] Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture (2020), A. Kopaničáková, R. Krause, Computer Methods in Applied Mechanics and Engineering [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2019b,
  author  = {{Kopani{\v{c}}{\'{a}}kov{\'{a}}},  Alena and Krause, Rolf},
  title   = {{R}ecursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture.},
  journal={Computer Methods in Applied Mechanics and Engineering},
  volume={360},
  pages={112720},
  year={2020},
  publisher={Elsevier},
  }

[J14] A detailed investigation of the model influencing parameters of the phase-field fracture approach (2020), C. Bilgen, A. Kopaničáková, R. Krause, K. Weinberg, GAMM-Mitteilungen [Link] [BibTeX]

@Article{Kopanicakova_2019c,
  author  = {Bilgen, Carola and {Kopani{\v{c}}{\'{a}}kov{\'{a}}},  Alena and Krause, Rolf and Weinberg, Kerstin},
  title   = {{A} detailed investigation of the model influencing parameters of the phase-field fracture approach.},
  journal={GAMM-Mitteilungen},
  volume={43},
  number={2},
  pages={e202000005},
  year={2020},
  publisher={Wiley Online Library},
}

[J15] Subdivision-Based Nonlinear Multiscale Cloth Simulation (2019), A. Kopaničáková, R. Krause, R. Tamstorf, SIAM Journal on Scientific Computing [Link] [BibTeX]

@Article{Kopanicakova_2019a,
  author  = {{Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf and Tamstorf, Rasmus},
title = {Subdivision-Based Nonlinear Multiscale Cloth Simulation},
journal = {SIAM Journal on Scientific Computing},
volume = {41},
number = {5},
pages = {S433-S461},
year = {2019},
doi = {10.1137/18M1194870},
URL = { https://doi.org/10.1137/18M1194870},
eprint = { https://doi.org/10.1137/18M1194870},
}

[J16] A phase-field approach to conchoidal fracture (2017), C. Bilgen, A. Kopaničáková, R. Krause, K. Weinberg, Meccanica [Link] [BibTeX]

@Article{Bilgen17a,
  author  = {Bilgen, Carola and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf and Weinberg, Kerstin},
  title   = {{A} phase-field approach to conchoidal fracture},
  journal = {Meccanica},
  year    = {2017},
  pages   = {1--17},
}

Publications in peer-reviewed conference proceedings

[C1] Parallel trust-region approaches in neural network training (2025), K. Trotti, S. A Cruz Alegría, A. Kopaničáková, R. Krause, Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 [BibTeX] [Preprint]

@article{Kopanicakova_2023p6,
  title={Parallel trust-region approaches in neural network training},
  author={Trotti, Ken and Alegr{\'\i}a, Samuel A Cruz and Kopani{\v{c}}{\'a}kov{\'a}, Alena and Krause, Rolf},
  journal={Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023},
  pages={107},
  year={2025},
  publisher={Walter de Gruyter GmbH \& Co KG}
}

[C2] Two-level trust-region method with random subspaces (2024), A. Angino, A. Kopaničáková, R. Krause, Domain Decomposition methods [BibTeX] [Preprint]

@inproceedings{Kopanicakova_2024p7,
  title={Two-level trust-region method with random subspaces},
  author={Angino, Andrea and {Kopani\v{c}\'{a}kov\'{a}}, Alena and Krause, Rolf},
  booktitle={Domain Decomposition methods},
  year={2024}
}

[C3] Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method (2023), S. A. Cruz Alegría, K. Trotti, A. Kopaničáková, R. Krause, European Conference on Numerical Mathematics and Advanced Applications [BibTeX]

@inproceedings{Kopanicakova_2023p5,
  title={Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method},
  author={A. Cruz Alegr{\'\i}a, Samuel and Trotti, Ken and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf},
  booktitle={European Conference on Numerical Mathematics and Advanced Applications},
  pages={34--43},
  year={2023},
  organization={Springer}
}

[C4] Nonlinear Schwarz preconditioning for nonlinear optimization problems with bound constraints (2022), H. Kothari, A. Kopaničáková, R. Krause, Domain Decomposition Methods in Science and Engineering XXVII [BibTeX] [Preprint]

@Article{Kopanicakova_2022e,
title={{N}onlinear {S}chwarz preconditioning for nonlinear optimization problems with bound constraints},
author={Kothari, Hardik and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf},
  journal={Domain Decomposition Methods in Science and Engineering XXVII},
pages={},
year={2022},
}

[C5] On the use of hybrid coarse-level models in multilevel minimization methods (2022), A. Kopaničáková, Domain Decomposition Methods in Science and Engineering XXVII [Link] [BibTeX] [Preprint]

@Article{Kopanicakova_2022f,
title={{O}n the use of hybrid coarse-level models in multilevel minimization methods},
author={{Kopani{\v c}{\'a}kov{\'a}},  Alena},
journal={Domain Decomposition Methods in Science and Engineering XXVII},
pages={},
year={2022},
}

[C6] A Matrix-free Multigrid Preconditioner for Jacobian-free Newton-Krylov Methods (2021), H. Kothari, A. Kopaničáková, R. Krause, Domain Decomposition Methods in Science and Engineering XXVI [Link] [BibTeX] [Preprint]

@InProceedings{Kopanicakova_2021b,
title={{A} {M}atrix-free {M}ultigrid {P}reconditioner for {J}acobian-free {N}ewton-{K}rylov {M}ethods},
author={Kothari, Hardik and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf},
booktitle={Domain Decomposition Methods in Science and Engineering XXVI},
pages={},
year={2021},
publisher={Springer},
}

[C7] Multilevel Active-Set Trust-Region (MASTR) Method for Bound Constrained Minimization (2021), A. Kopaničáková, R. Krause, Domain Decomposition Methods in Science and Engineering XXVI [Link] [BibTeX] [Preprint]

@InProceedings{Kopanicakova_2021c,
  title={{M}ultilevel {A}ctive-{S}et {T}rust-{R}egion {(MASTR)} {M}ethod for {B}ound {C}onstrained {M}inimization},
  author={{Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf},
  booktitle={Domain Decomposition Methods in Science and Engineering XXVI},
  pages={},
  year={2021},
  publisher={Springer},
}

[C8] Quantitative Analysis of Nonlinear Multifidelity Optimization for Inverse Electrophysiology (2021), F. Chegini, A. Kopaničáková, M. Weiser, R. Krause, Domain Decomposition Methods in Science and Engineering XXVI [Link] [BibTeX]

@InProceedings{Kopanicakova_2021d,
  title={Quantitative Analysis of Nonlinear Multifidelity Optimization for Inverse Electrophysiology},
  author={Chegini, Fatemeh and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Weiser, Martin and Krause, Rolf},
  booktitle={Domain Decomposition Methods in Science and Engineering XXVI  },
  pages={},
  year={2021},
  publisher={Springer},
}

[C9] Multilevel minimization for deep residual networks (2021), L. Gaedke-Merzhäuser*, A. Kopaničáková*, R. Krause, In ESAIM Proceedings and Surveys [Link] [BibTeX] [Preprint]

@InProceedings{Kopanicakova_2020c,
  title={Multilevel minimization for deep residual networks},
  author={Gaedke-Merzh{\"a}user*, Lisa and {Kopani{\v{c}}{\'a}kov{\'a}*},  Alena and Krause, Rolf},
  booktitle={In ESAIM Proceedings and Surveys},
  volume={71},
  pages={131-144},
  year={2021},
}

[C10] Training of residual networks with stochastic MG/Opt (2021), C. von Planta, A. Kopaničáková, R. Krause, ICML 2021 Workshop: Beyond First Order Methods in Machine Learning [Link] [BibTeX] [Preprint]

@InProceedings{Kopanicakova_2021e,
  title={Training of residual networks with stochastic {MG}/{O}pt},
  author={von Planta, Cyrill and {Kopani{\v{c}}{\'a}kov{\'a}}, Alena and Krause, Rolf},
  booktitle={ICML 2021 Workshop: Beyond First Order Methods in Machine Learning},
  year={2021},
}

[C11] A Multilevel Approach to Training (2020), V. Braglia*, A. Kopaničáková*, R. Krause, ICML 2020 Workshop: Beyond First Order Methods in Machine Learning [Link] [BibTeX] [Preprint]

@InProceedings{Kopanicakova_2020d,
  title={A Multilevel Approach to Training},
  author={Braglia*, Vanessa and {Kopani{\v{c}}{\'a}kov{\'a}*},  Alena and Krause, Rolf},
  booktitle={ICML 2020 Workshop: Beyond First Order Methods in Machine Learning},
  year={2020}
}

[C12] A phase-field approach to pneumatic fracture (2017), C. Bilgen, A. Kopaničáková, R. Krause, K. Weinberg, PAMM [Link] [BibTeX]

@InProceedings{Bilgen17b,
  author        = {Bilgen, Carola and {Kopani{\v c}{\'a}kov{\'a}},  Alena and Krause, Rolf and Weinberg, Kerstin},
  title         = {{A} phase-field approach to pneumatic fracture},
  booktitle       = {{PAMM}},
  year          = {2017},
  volume        = {17},
  number        = {1},
  pages         = {71-74},
  doi           = {10.1002/pamm.201710022},
  }

[C13] Gesture recognition using DTW and its application potential in human-centered robotics (2013), A. Kopaničáková, M. Virčíková, P. Sinčák, Proceedings of the 13th Scientific Conference of Young Researchers of Faculty of Electrical Engineering and Informatics Technical University of Košice [Link] [BibTeX]

@InProceedings{kopanivcakova2013gesture,
  title={Gesture recognition using {D}{T}{W} and its application potential in human-centered robotics},
  author={{{K}opani{\v{c}}{\'a}kov{\'a}}, Alena and Vir{\v{c}}{\'\i}kov{\'a}, M{\'a}ria and Sin{\v{c}}\'ak, Peter},
  booktitle={Proceedings of the 13th Scientific Conference of Young Researchers of Faculty of Electrical Engineering and Informatics
Technical University of Ko\v{s}ice},
  year={2013},
}

Thesis

[T1] Multilevel minimization in trust-region framework - Algorithmic and software developments. PhD thesis, Università della Svizzera italiana, 2020