Michael Eichelbeck

Orcid: 0000-0002-1522-8767

According to our database1, Michael Eichelbeck authored at least 5 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Predicting building types and functions at transnational scale.
CoRR, 2024

CommonPower: Supercharging Machine Learning for Smart Grids.
CoRR, 2024

Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure.
CoRR, 2024

Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022
Contingency-constrained economic dispatch with safe reinforcement learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022


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