Sedjro Salomon Hotegni

Sedjro Salomon Hotegni

PhD student in Computer Science (Multi-criteria Machine Learning), Safe Autonomous Systems group, TU Dortmund University

Publications

Enhancing Adversarial Robustness through Multi-Objective Representation Learning

Published in ICANN 2025, Kaunas, Lithuania, 2025

Enhancing Adversarial Robustness through Multi-Objective Representation Learning Read more

Recommended citation: Hotegni, S.S., Peitz, S. (2026). Enhancing Adversarial Robustness Through Multi-objective Representation Learning. In: Senn, W., et al. Artificial Neural Networks and Machine Learning – ICANN 2025. ICANN 2025. Lecture Notes in Computer Science, vol 16068. Springer, Cham. https://doi.org/10.1007/978-3-032-04558-4_35

Multi-objective deep learning: Taxonomy and survey of the state of the art

Published in Machine Learning with Applications, 2025

Multi-objective deep learning: Taxonomy and survey of the state of the art Read more

Recommended citation: Sebastian Peitz, Sèdjro Salomon Hotegni, Multi-objective deep learning: Taxonomy and survey of the state of the art, Machine Learning with Applications, Volume 21, 2025, 100700, ISSN 2666-8270, https://doi.org/10.1016/j.mlwa.2025.100700.

Multi-Objective Optimization for Sparse Deep Multi-Task Learning

Published in IJCNN 2024, Yokohama, Japan, 2024

Multi-Objective Optimization for Sparse Deep Multi-Task Learning Read more

Recommended citation: S. S. Hotegni, M. Berkemeier and S. Peitz, "Multi-Objective Optimization for Sparse Deep Multi-Task Learning," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-9, doi: 10.1109/IJCNN60899.2024.10650994.

Approximation Algorithms for Fair Range Clustering

Published in ICML 2023, Hawaii, USA, 2023

Approximation Algorithms for Fair Range Clustering Read more

Recommended citation: Hotegni, S.S., Mahabadi, S. and Vakilian, A., 2023, July. Approximation Algorithms for Fair Range Clustering. In International Conference on Machine Learning (pp. 13270-13284). PMLR.