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salomonhotegni/README.md

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👨🏻 About Me

  • 🔭 I’m currently a PhD Student in Computer Science (Multi-criteria Machine Learning) at TU Dortmund, in Germany (🇩🇪), and I'm working on the development of efficient optimization algorithms for training neural networks regarding multiple conflicting objective functions.
  • 🤔   Writing, reading and exploring new technologies.

🖥️ Open-Source Projects

Machine Learning PyPi Packages
Title Stars Technologies
SPREAD Stars PyTorch
MOREL Stars PyTorch
MDMTN Stars PyTorch
Title Stars Technologies
moospread Stars PyTorch
advermorel Stars PyTorch

Coder GIF

📈 Stats


My Github Stats


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  1. Trusted-AI/adversarial-robustness-toolbox Trusted-AI/adversarial-robustness-toolbox Public

    Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

    Python 6k 1.3k

  2. MDMTN MDMTN Public

    Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"

    Python 16 2

  3. MOREL MOREL Public

    Source code for the ICANN2025 paper titled "Enhancing Adversarial Robustness through Multi-Objective Representation Learning"

    Python 4

  4. safe-autonomous-systems/moo-spread safe-autonomous-systems/moo-spread Public

    [ICLR 2026] SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion

    Jupyter Notebook 2