Plenary talks and invited seminars

[T1] A. Kopaničáková. Towards trustworthy use of scientific machine-learning in large scale numerical simulations. Plenary talk at 10th European Conference on Numerical Methods in Electromagnetism, 2024
[T2] A. Kopaničáková and G. Karniadakis. DeepOnet Based Preconditioning Strategies For Solving Parametric Linear Systems of Equations. Invited online seminar at CRUNCH group, 2024
[T3] A. Kopaničáková. Training deep neural networks using subspace correction methods. Invited talk at TU Delft (Netherlands), 2023
[T4] A. Kopaničáková. Training of deep neural networks using multilevel and domain-decompositon strategies. Invited talk at the University of Maryland (Baltimore Country), 2023
[T5] A. Kopaničáková, H. Kothari, G. Karniadakis, and R. Krause. Enhancing Training of Deep Neural Networks Using Multilevel and Domain Decomposition Strategies. Invited seminar at Division of Applied Mathematics (Brown, USA), 2023
[T6] A. Kopaničáková. Enhancing Training of Deep Neural Networks Using Multilevel and Domain Decomposition Methods. Plenary talk, at International Multigrid Conference 2022
[T7] A. Kopaničáková and R. Krause. Multilevel training of deep neural networks. Invited talk in the machine learning seminar of Legato team (group of Prof. Stéphane Bordas, Université du Luxembourg), 2022
[T8] A. Kopaničáková and R. Krause. Multilevel minimization and Deep Residual Networks (ResNets). Invited talk in the group of Prof. M. Jaggi (EPFL Laussane, Switzerland), 2020
[T9] A. Kopaničáková and R. Krause. Trust-region based minimization techniques for phase-field fracture simulations. Invited talk in the group of Prof. L. de Lorenzis (TU Braunschweig, Germany), 2019

Selected oral presentations:

[T10] A. Kopaničáková. DeepONet-based Preconditioning for Krylov Methods. International Conference On Precondi- tioning Techniques For Scientific and Industrial Applications, 2024
[T11] A. Kopaničáková. Accelerating training of physics-informed neural networks using decomposition strategies. International Conference On Preconditioning Techniques For Scientific and Industrial Applications, 2024
[T12] A. Kopaničáková. Training Deep Neural Networks Using Multilevel and Domain Decomposition Methods. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMMAS), 2024
[T13] A. Kopaničáková. Multilevel minimization and deep learning. Algoritmy: Central European Conference on Scientific Computing, 2024
[T14] A. Kopaničáková. Training of deep neural networks using nonlinear multilevel methods. 28th International Domain Decomposition Conference, (DDXXVIII), 2024
[T15] A. Kopaničáková. Enhancing training of scientific machine learning applications. International Congress on Industrial and Applied Mathematics (ICIAM), 2023
[T16] A. Kopaničáková, S. Gratton, and Ph. Toint. Multilevel Objective-Function-Free Trust-Region with an Application to Neural Networks Training. Copper Mountain Conference On Multigrid Methods, 2023
[T17] A. Kopaničáková. Nonlinear multilevel minimization methods with applicaitons in computational science and machine-learning. Rising Stars in Computational & Data Science event, 2023
[T18] A. Kopaničáková, H. Kothari, and R. Krause. Towards Large-Scale Training of Deep Neural Networks Using Domain-Decomposition Methods. SIAM Conference on Computational Science and Engineering (CSE23), 2023
[T19] A. Kopaničáková, and R. Krause. Multiscale Training Algorithms for Deep Neural Networks. SIAM Confrence on Mathematics of Data Science Conference (MDS22), 2022
[T20] A. Kopaničáková, H. Kothari, P. Zulian, and R. Krause. Multilevel and domain decomposition methods for phase-field fracture simulations. 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (WCCM-APCOM), 2022
[T21] A. Kopaničáková, H. Kothari, P. Zulian, and R. Krause. Nonlinear multilevel and domain decomposition methods for phase-field fracture simulations in monolithic framework. 27th International Conference on Domain Decomposition Methods (DD27), 2022
[T22] A. Kopaničáková, H. Kothari, and R. Krause. Nonlinear preconditioning strategies for monolithic phase-field fracture models. 11th European Solid Mechanics Conference (ESMC), 2022
[T23] A. Kopaničáková, H. Kothari, and R. Krause. Nonlinear additive and multiplicative preconditioning strategies for monolithic phase-field fracture models. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS CONGRESS), 2022
[T24] A. Kopaničáková and R. Krause. Affine Similar Trust-Region Method with Application to Phase-Field Models of Brittle Fracture. The US National Congress on Computational Mechanics (USNCCM 16), 2021
[T25] A. Kopaničáková and R. Krause. A large scale phase-field fracture simulations. The Platform for Advanced Scientific Computing (PASC) Conference, 2021
[T26] A. Kopaničáková and R. Krause. Globally Convergent Multilevel Training of Deep Residual Networks. 20th Copper Mountain Conference On Multigrid Methods, 2021
[T27] A. Kopaničáková and R. Krause. Multilevel training of deep residual networks. 26th International Domain Decomposition Conference, (DDXXVI), 2020
[T28] A. Kopaničáková and R. Krause. A recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture. The US National Congress on Computational Mechanics (USNCCM 15), 2019
[T29] A. Kopaničáková, R. Krause, and R. Tamstorf. Subdivision-based nonlinear multiscale cloth simulation. Eccomas Thematic Conference on eXtended Discretization MethodS (X-DMS), 2019
[T30] A. Kopaničáková and R. Krause. Recursive multilevel trust region strategy with application to phase-field fracture. The 13th World Congress in Computational Mechanics (WCCMXIII), 2018
[T31] A. Kopaničáková, R. Krause, and R. Tamstorf. Subdivision-based nonlinear multiscale cloth simulations. Copper Mountain Conference On Iterative Methods, 2018
[T32] A. Kopaničáková, C. Bilgen, K. Weinberg, and R. Krause. Recursive multilevel trust region method, application to phase-field fracture. SIAM Conference on Parallel Processing for Scientific Computing (SIAM-PP), 2018
[T33] A. Kopaničáková and R. Krause. A non-linear multilevel method for phase-field fracture models. The Platform for Advanced Scientific Computing (PASC) Conference, 2017