| Exastencils: advanced multigrid solver generation C Lengauer, S Apel, M Bolten, S Chiba, U Rüde, J Teich, A Größlinger, ... Software for Exascale Computing-SPPEXA 2016-2019, 405-452, 2020 | 33 | 2020 |
| Optimizing geometric multigrid methods with evolutionary computation J Schmitt, S Kuckuk, H Köstler arXiv preprint arXiv:1910.02749, 2019 | 12 | 2019 |
| EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods J Schmitt, S Kuckuk, H Köstler Genetic Programming and Evolvable Machines 22 (4), 511-537, 2021 | 11 | 2021 |
| Constructing efficient multigrid solvers with genetic programming J Schmitt, S Kuckuk, H Köstler Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 11 | 2020 |
| A multi-objective genetic algorithm for simulating optimal fights in starcraft II J Schmitt, H Köstler 2016 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2016 | 11 | 2016 |
| tinyMD: Mapping molecular dynamics simulations to heterogeneous hardware using partial evaluation RRL Machado, J Schmitt, S Eibl, J Eitzinger, R Leissa, S Hack, ... Journal of Computational Science 54, 101425, 2021 | 5 | 2021 |
| Potential-field-based unit behavior optimization for balancing in StarCraft II J Schmitt, S Seufert, C Zoubek, H Köstler Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 5 | 2015 |
| Evolving generalizable multigrid-based helmholtz preconditioners with grammar-guided genetic programming J Schmitt, H Köstler Proceedings of the Genetic and Evolutionary Computation Conference, 1009-1018, 2022 | 4 | 2022 |
| Unified code generation for the parallel computation of pairwise interactions using partial evaluation J Schmitt, H Köstler, J Eitzinger, R Membarth 2018 17th International Symposium on Parallel and Distributed Computing …, 2018 | 4 | 2018 |
| Reinforcement learning mit sonic the hedgehog J Schmitt Angewandtes maschinelles Lernen-SS2019, 87, 2019 | 2 | 2019 |
| Automating the Design of Multigrid Methods with Evolutionary Program Synthesis J Schmitt arXiv preprint arXiv:2312.14875, 2023 | 1 | 2023 |
| Genetic programming for iterative numerical methods D Sobania, J Schmitt, H Köstler, F Rothlauf Genetic Programming and Evolvable Machines 23 (2), 253-278, 2022 | 1 | 2022 |
| Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression J Schmitt, R Liu, J Zheng, J Zhang, R Stiefelhagen arXiv preprint arXiv:2408.03046, 2024 | | 2024 |
| Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic Programming D Parthasarathy, J Schmitt, H Köstler Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations RRL Machado, J Schmitt, S Eibl, J Eitzinger, R Leißa, S Hack, ... arXiv preprint arXiv:2009.07400, 2020 | | 2020 |
| tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations R Ravedutti Lucio Machado, J Schmitt, S Eibl, J Eitzinger, R Leißa, ... arXiv, 2020 | | 2020 |
| Foundations In Evolutionary Cognitive Neuroscience J Schmitt Foundations 1, 2, 2016 | | 2016 |
| Automating the Design of Multigrid Methods J Schmitt | | |