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

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

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: Hotegni, S.S., Berkemeier, M., & Peitz, S., (2024). Multi-Objective Optimization for Sparse Deep Multi-Task Learning.

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.