Manuel Bastian Berkemeier

manuelbb@mail.uni-paderborn.de
ID
51701

3 Publications

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[3]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
LibreCat | DOI | Download (ext.)
 
[2]
2022 | Preprint | LibreCat-ID: 33150 | OA
Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients
M.B. Berkemeier, S. Peitz, ArXiv:2208.12094 (2022).
LibreCat | Download (ext.) | arXiv
 
[1]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models
M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).
LibreCat | DOI | Download (ext.)
 
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3 Publications

Mark all

[3]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
LibreCat | DOI | Download (ext.)
 
[2]
2022 | Preprint | LibreCat-ID: 33150 | OA
Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients
M.B. Berkemeier, S. Peitz, ArXiv:2208.12094 (2022).
LibreCat | Download (ext.) | arXiv
 
[1]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models
M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).
LibreCat | DOI | Download (ext.)
 
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