5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 | 
SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.
LibreCat
| DOI
| Download (ext.)
S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.
2026 | Conference Paper | LibreCat-ID: 67300
Enhancing Adversarial Robustness Through Multi-objective Representation Learning
S.S. Hotegni, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 442–454.
LibreCat
| DOI
S.S. Hotegni, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 442–454.
2025 | Journal Article | LibreCat-ID: 67316
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
LibreCat
| DOI
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
2024 | Conference Paper | LibreCat-ID: 46649 |
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.)
S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
2023 | Conference Paper | LibreCat-ID: 45695 |
Approximation Algorithms for Fair Range Clustering
S.S. Hotegni, S. Mahabadi, A. Vakilian, in: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023., n.d.
LibreCat
| Download (ext.)
S.S. Hotegni, S. Mahabadi, A. Vakilian, in: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023., n.d.
5 Publications
2026 | Conference Paper | LibreCat-ID: 67307 |
SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.
LibreCat
| DOI
| Download (ext.)
S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.
2026 | Conference Paper | LibreCat-ID: 67300
Enhancing Adversarial Robustness Through Multi-objective Representation Learning
S.S. Hotegni, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 442–454.
LibreCat
| DOI
S.S. Hotegni, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 442–454.
2025 | Journal Article | LibreCat-ID: 67316
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
LibreCat
| DOI
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
2024 | Conference Paper | LibreCat-ID: 46649 |
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.)
S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
2023 | Conference Paper | LibreCat-ID: 45695 |
Approximation Algorithms for Fair Range Clustering
S.S. Hotegni, S. Mahabadi, A. Vakilian, in: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023., n.d.
LibreCat
| Download (ext.)
S.S. Hotegni, S. Mahabadi, A. Vakilian, in: Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023., n.d.