Michael Eichelbeck

18 papers A* 2C 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
BSAT: B-Spline Adaptive Tokenizer for Long-Term Time Series Forecasting.
CoRR
Maximilian Reinwardt, Michael Eichelbeck, Matthias Althoff
2026 J jnl
CommonPower: A Framework for Safe Data-Driven Smart Grid Control.
IEEE Trans. Smart Grid
Michael Eichelbeck, Hannah Markgraf, Matthias Althoff
2026 A* conf
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions.
AAAI
Roland Stolz, Michael Eichelbeck, Matthias Althoff
2026 J jnl
Predicting Building Types and Functions at Transnational Scale.
IEEE Access
Jonas Fill, Michael Eichelbeck, Michael Ebner
2025 J jnl
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure.
Trans. Mach. Learn. Res.
Tobias Ladner, Michael Eichelbeck, Matthias Althoff
2025 J jnl
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions.
CoRR
Roland Stolz, Michael Eichelbeck, Matthias Althoff
2025 J jnl
PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning Projects.
CoRR
Hannah Markgraf, Michael Eichelbeck, Daria Cappey, Selin Demirtürk, Yara Schattschneider, Matthias Althoff
2025 — conf
Wind Turbine Fault Classification Based on Reconstruction Errors of SCADA Data.
e-Energy
Michael Eichelbeck, Max Adam, Kenneth Laureys, Milena Zurmühl, Matthias Althoff
2025 J jnl
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks.
CoRR
Laura Lützow, Michael Eichelbeck, Mykel J. Kochenderfer, Matthias Althoff
2025 J jnl
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks.
J. Mach. Learn. Res.
Laura Lützow, Michael Eichelbeck, Mykel J. Kochenderfer, Matthias Althoff
2025 — conf
e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community.
e-Energy
Annika Schneider, Lukas Schüttler, Jan Marco Ruiz de Vargas, Michael Eichelbeck, Christoph Goebel
2024 J jnl
CommonPower: Supercharging Machine Learning for Smart Grids.
CoRR
Michael Eichelbeck, Hannah Markgraf, Matthias Althoff
2024 A* conf
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
NeurIPS
Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff
2024 J jnl
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
CoRR
Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff
2024 J jnl
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure.
CoRR
Tobias Ladner, Michael Eichelbeck, Matthias Althoff
2024 J jnl
Predicting building types and functions at transnational scale.
CoRR
Jonas Fill, Michael Eichelbeck, Michael Ebner
2022 C conf
Contingency-constrained economic dispatch with safe reinforcement learning.
ICMLA
Michael Eichelbeck, Hannah Markgraf, Matthias Althoff
2022 J jnl
Contingency-constrained economic dispatch with safe reinforcement learning.
CoRR
Michael Eichelbeck, Hannah Markgraf, Matthias Althoff