5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 | 
@inproceedings{Hotegni_Peitz_2026, title={SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion}, DOI={10.48550/arXiv.2509.21058}, booktitle={14th International Conference on Learning Representations (ICLR)}, author={Hotegni, Sedjro Salomon and Peitz, Sebastian}, year={2026} }
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2026 | Conference Paper | LibreCat-ID: 67300
@inproceedings{Hotegni_Peitz_2026, place={Cham}, title={Enhancing Adversarial Robustness Through Multi-objective Representation Learning}, DOI={10.1007/978-3-032-04558-4_35}, booktitle={Artificial Neural Networks and Machine Learning – ICANN 2025}, publisher={Springer Nature Switzerland}, author={Hotegni, Sedjro Salomon and Peitz, Sebastian}, editor={Senn, Walter and Sanguineti, Marcello and Saudargiene, Ausra and Tetko, Igor V. and Villa, Alessandro E. P. and Jirsa, Viktor and Bengio, Yoshua}, year={2026}, pages={442–454} }
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2025 | Journal Article | LibreCat-ID: 67316
@article{Peitz_Hotegni_2025, title={Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art}, DOI={10.1016/j.mlwa.2025.100700}, number={100700}, journal={Machine Learning with Applications}, author={Peitz, Sebastian and Hotegni, Sedjro Salomon}, year={2025} }
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2024 | Conference Paper | LibreCat-ID: 46649 |
@inproceedings{Hotegni_Berkemeier_Peitz_2024, place={Yokohama, Japan}, title={Multi-Objective Optimization for Sparse Deep Multi-Task Learning}, DOI={10.1109/IJCNN60899.2024.10650994}, booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, publisher={IEEE}, author={Hotegni, Sedjro Salomon and Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2024}, pages={9} }
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2023 | Conference Paper | LibreCat-ID: 45695 |
@inproceedings{Hotegni_Mahabadi_Vakilian, title={Approximation Algorithms for Fair Range Clustering}, booktitle={Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023.}, author={Hotegni, Sedjro Salomon and Mahabadi, Sepideh and Vakilian, Ali} }
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5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 |
@inproceedings{Hotegni_Peitz_2026, title={SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion}, DOI={10.48550/arXiv.2509.21058}, booktitle={14th International Conference on Learning Representations (ICLR)}, author={Hotegni, Sedjro Salomon and Peitz, Sebastian}, year={2026} }
LibreCat
| DOI
| Download (ext.)
2026 | Conference Paper | LibreCat-ID: 67300
@inproceedings{Hotegni_Peitz_2026, place={Cham}, title={Enhancing Adversarial Robustness Through Multi-objective Representation Learning}, DOI={10.1007/978-3-032-04558-4_35}, booktitle={Artificial Neural Networks and Machine Learning – ICANN 2025}, publisher={Springer Nature Switzerland}, author={Hotegni, Sedjro Salomon and Peitz, Sebastian}, editor={Senn, Walter and Sanguineti, Marcello and Saudargiene, Ausra and Tetko, Igor V. and Villa, Alessandro E. P. and Jirsa, Viktor and Bengio, Yoshua}, year={2026}, pages={442–454} }
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 67316
@article{Peitz_Hotegni_2025, title={Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art}, DOI={10.1016/j.mlwa.2025.100700}, number={100700}, journal={Machine Learning with Applications}, author={Peitz, Sebastian and Hotegni, Sedjro Salomon}, year={2025} }
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 46649 |
@inproceedings{Hotegni_Berkemeier_Peitz_2024, place={Yokohama, Japan}, title={Multi-Objective Optimization for Sparse Deep Multi-Task Learning}, DOI={10.1109/IJCNN60899.2024.10650994}, booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, publisher={IEEE}, author={Hotegni, Sedjro Salomon and Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2024}, pages={9} }
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2023 | Conference Paper | LibreCat-ID: 45695 |
@inproceedings{Hotegni_Mahabadi_Vakilian, title={Approximation Algorithms for Fair Range Clustering}, booktitle={Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023.}, author={Hotegni, Sedjro Salomon and Mahabadi, Sepideh and Vakilian, Ali} }
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| Download (ext.)