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Learning to run a Power Network Challenge: a Retrospective Analysis., , , , , , , , , and . NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 112-132. PMLR, (2020)Accelerated DC loadflow solver for topology optimization., , , , and . CoRR, (January 2025)Continuation of probability density functions using a generalized Lyapunov approach., , , , , and . J. Comput. Phys., (2017)Continuation of Probability Density Functions using a Generalized Lyapunov Approach., , , , , and . CoRR, (2020)Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control., , , , , , , and . CoRR, (February 2025)A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures, , , , , , , , , and 6 other author(s). (2025)Exploring grid topology reconfiguration using a simple deep reinforcement learning approach., , , , and . CoRR, (2020)Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control., , , , , , , and . e-Energy, page 614-621. ACM, (2025)Generalizable Graph Neural Networks for Robust Power Grid Topology Control., , and . CoRR, (January 2025)Graph Neural Networks for Grid Control: Prospects in AI-assisted Transmission Grid Operation, , , , , , , and . Energietechnische Gesellschaft (ETG Kongress) 2025, page 874-881. (2025)