5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 | 
S. S. Hotegni and S. Peitz, “SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion,” 2026, doi: 10.48550/arXiv.2509.21058.
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2026 | Conference Paper | LibreCat-ID: 67300
S. S. Hotegni and S. Peitz, “Enhancing Adversarial Robustness Through Multi-objective Representation Learning,” in Artificial Neural Networks and Machine Learning – ICANN 2025, 2026, pp. 442–454, doi: 10.1007/978-3-032-04558-4_35.
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 67316
S. Peitz and S. S. Hotegni, “Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art,” Machine Learning with Applications, no. 100700, 2025, doi: 10.1016/j.mlwa.2025.100700.
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| DOI
2024 | Conference Paper | LibreCat-ID: 46649 |
S. S. Hotegni, M. B. Berkemeier, and S. Peitz, “Multi-Objective Optimization for Sparse Deep Multi-Task Learning,” in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, p. 9, doi: 10.1109/IJCNN60899.2024.10650994.
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2023 | Conference Paper | LibreCat-ID: 45695 |
S. S. Hotegni, S. Mahabadi, and A. Vakilian, “Approximation Algorithms for Fair Range Clustering,” presented at the International Conference on Machine Learning, Honolulu, Hawaii, USA.
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5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 |
S. S. Hotegni and S. Peitz, “SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion,” 2026, doi: 10.48550/arXiv.2509.21058.
LibreCat
| DOI
| Download (ext.)
2026 | Conference Paper | LibreCat-ID: 67300
S. S. Hotegni and S. Peitz, “Enhancing Adversarial Robustness Through Multi-objective Representation Learning,” in Artificial Neural Networks and Machine Learning – ICANN 2025, 2026, pp. 442–454, doi: 10.1007/978-3-032-04558-4_35.
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 67316
S. Peitz and S. S. Hotegni, “Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art,” Machine Learning with Applications, no. 100700, 2025, doi: 10.1016/j.mlwa.2025.100700.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 46649 |
S. S. Hotegni, M. B. Berkemeier, and S. Peitz, “Multi-Objective Optimization for Sparse Deep Multi-Task Learning,” in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, p. 9, doi: 10.1109/IJCNN60899.2024.10650994.
LibreCat
| DOI
| Download (ext.)
2023 | Conference Paper | LibreCat-ID: 45695 |
S. S. Hotegni, S. Mahabadi, and A. Vakilian, “Approximation Algorithms for Fair Range Clustering,” presented at the International Conference on Machine Learning, Honolulu, Hawaii, USA.
LibreCat
| Download (ext.)