3 Publications
2024 | Conference Paper | LibreCat-ID: 46649 | 
Hotegni, S. S., Berkemeier, M. B., & Peitz, S. (2024). Multi-Objective Optimization for Sparse Deep Multi-Task Learning. 2024 International Joint Conference on Neural Networks (IJCNN), 9. https://doi.org/10.1109/IJCNN60899.2024.10650994
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2022 | Preprint | LibreCat-ID: 33150 |
Berkemeier, M. B., & Peitz, S. (2022). Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. In arXiv:2208.12094.
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| arXiv
2021 | Journal Article | LibreCat-ID: 21337 |
Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
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| Download (ext.)
3 Publications
2024 | Conference Paper | LibreCat-ID: 46649 |
Hotegni, S. S., Berkemeier, M. B., & Peitz, S. (2024). Multi-Objective Optimization for Sparse Deep Multi-Task Learning. 2024 International Joint Conference on Neural Networks (IJCNN), 9. https://doi.org/10.1109/IJCNN60899.2024.10650994
LibreCat
| DOI
| Download (ext.)
2022 | Preprint | LibreCat-ID: 33150 |
Berkemeier, M. B., & Peitz, S. (2022). Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. In arXiv:2208.12094.
LibreCat
| Download (ext.)
| arXiv
2021 | Journal Article | LibreCat-ID: 21337 |
Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
LibreCat
| DOI
| Download (ext.)