3 Publications
2024 | Conference Paper | LibreCat-ID: 46649 |

Hotegni SS, Berkemeier MB, Peitz S. Multi-Objective Optimization for Sparse Deep Multi-Task Learning. In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE; 2024:9. doi:10.1109/IJCNN60899.2024.10650994
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2022 | Preprint | LibreCat-ID: 33150 |

Berkemeier MB, Peitz S. Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. arXiv:220812094. Published online 2022.
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| arXiv
2021 | Journal Article | LibreCat-ID: 21337 |

Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical and Computational Applications. 2021;26(2). doi:10.3390/mca26020031
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| DOI
| Download (ext.)
3 Publications
2024 | Conference Paper | LibreCat-ID: 46649 |

Hotegni SS, Berkemeier MB, Peitz S. Multi-Objective Optimization for Sparse Deep Multi-Task Learning. In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE; 2024:9. doi:10.1109/IJCNN60899.2024.10650994
LibreCat
| DOI
| Download (ext.)
2022 | Preprint | LibreCat-ID: 33150 |

Berkemeier MB, Peitz S. Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. arXiv:220812094. Published online 2022.
LibreCat
| Download (ext.)
| arXiv
2021 | Journal Article | LibreCat-ID: 21337 |

Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical and Computational Applications. 2021;26(2). doi:10.3390/mca26020031
LibreCat
| DOI
| Download (ext.)