5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 | 
Hotegni SS, Peitz S. SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion. In: 14th International Conference on Learning Representations (ICLR). ; 2026. doi:10.48550/arXiv.2509.21058
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2026 | Conference Paper | LibreCat-ID: 67300
Hotegni SS, Peitz S. Enhancing Adversarial Robustness Through Multi-objective Representation Learning. In: Senn W, Sanguineti M, Saudargiene A, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2025. Springer Nature Switzerland; 2026:442–454. doi:10.1007/978-3-032-04558-4_35
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2025 | Journal Article | LibreCat-ID: 67316
Peitz S, Hotegni SS. Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art. Machine Learning with Applications. 2025;(100700). doi:10.1016/j.mlwa.2025.100700
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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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2023 | Conference Paper | LibreCat-ID: 45695 |
Hotegni SS, Mahabadi S, Vakilian A. Approximation Algorithms for Fair Range Clustering. In: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023.
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5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 |
Hotegni SS, Peitz S. SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion. In: 14th International Conference on Learning Representations (ICLR). ; 2026. doi:10.48550/arXiv.2509.21058
LibreCat
| DOI
| Download (ext.)
2026 | Conference Paper | LibreCat-ID: 67300
Hotegni SS, Peitz S. Enhancing Adversarial Robustness Through Multi-objective Representation Learning. In: Senn W, Sanguineti M, Saudargiene A, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2025. Springer Nature Switzerland; 2026:442–454. doi:10.1007/978-3-032-04558-4_35
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 67316
Peitz S, Hotegni SS. Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art. Machine Learning with Applications. 2025;(100700). doi:10.1016/j.mlwa.2025.100700
LibreCat
| DOI
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.)
2023 | Conference Paper | LibreCat-ID: 45695 |
Hotegni SS, Mahabadi S, Vakilian A. Approximation Algorithms for Fair Range Clustering. In: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023.
LibreCat
| Download (ext.)