Sedjro Salomon Hotegni

Scientific Machine Learning (Peitz)
Research Student
Data Science for Engineering
Member - Former
E-Mail:
sedjro.salomon.hotegni@uni-paderborn.de
Phone:
+49 5251 60-2075
Office Address:
Pohlweg 51
33098 Paderborn
Room:
O3.131

Publications

Latest Publications

SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion

S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.

DOI

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.

DOI

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art

S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).

DOI

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.

DOI

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.


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