Dr. Christoph Scholz
Team Leader: Reinforcement Learning for Cognitive Energy Systems (RL4CES)

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- Christoph Scholz
Publications
2026[ to top ]
- Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach.. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), bll 129–146. Springer, 2026.
2025[ to top ]
- AudioProtoPNet: An interpretable deep learning model for bird sound classification.. In Ecological Informatics, 87, bl 103081. Elsevier, 2025.
2024[ to top ]
- Fault Detection for Agents in Power Grid Topology Optimization: A Comprehensive Analysis.. In Machine Learning for Sustainable Power Systems (ML4SPS), ECML. Springer, 2024.
- Capturing Nonlinear Electron Dynamics with Fully Characterised Attosecond X-ray Pulses.. In arXiv e-prints, bl arXiv:2408.03858. 2024.
2023[ to top ]
- Targeted Adversarial Attacks on Wind Power Forecasts.. In Machine Learning, 113(2), bll 863–889. Springer, 2023.
- Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents.. In Energy and AI, 14, bl 100276. Energy and AI, 2023.
- Active Bird2Vec: Towards End-To-End Bird Sound Monitoring with Transformers.. In Workshop on Artificial Intelligence for Sustainability (AI4S), ECAI, bll 1–6. 2023.