Michael Lindner

18 papers A 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction.
IEEE Trans. Knowl. Data Eng.
Junyou Zhu, Christian Nauck, Michael Lindner, Langzhou He, Philip S. Yu, Klaus-Robert Müller, Jürgen Kurths, Frank Hellmann
2024 J jnl
Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions.
CoRR
Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann
2024 — conf
Dirac–Bianconi Graph Neural Networks – Enabling Non-Diffusive Long-Range Graph Predictions.
GRaM
Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann
2024 J jnl
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning.
CoRR
Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner
2024 J jnl
Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning.
CoRR
Christian Nauck, Michael Lindner, Nora Molkenthin, Jürgen Kurths, Eckehard Schöll, Jörg Raisch, Frank Hellmann
2023 J jnl
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies.
PLoS Comput. Biol.
Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral
2022 — conf
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems.
OSMSES
Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann
2022 J jnl
Dynamic stability of power grids - new datasets for Graph Neural Networks.
CoRR
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
2022 J jnl
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies.
CoRR
Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral
2022 J jnl
Towards dynamic stability analysis of sustainable power grids using graph neural networks.
CoRR
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
2021 J jnl
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems.
CoRR
Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann
2021 J jnl
Predicting Dynamic Stability of Power Grids using Graph Neural Networks.
CoRR
Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann
2020 J jnl
NetworkDynamics.jl - Composing and simulating complex networks in Julia.
CoRR
Michael Lindner, Lucas Lincoln, Fenja Drauschke, Julia Monika Koulen, Hans Würfel, Anton Plietzsch, Frank Hellmann
2011 J jnl
Transfer entropy - a model-free measure of effective connectivity for the neurosciences.
J. Comput. Neurosci.
Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa
2009 J jnl
A representation for coordination fault detection in large-scale multi-agent systems.
Ann. Math. Artif. Intell.
Michael Lindner, Meir Kalech, Gal A. Kaminka
2008 J jnl
The neural substrates of person comparison - An fMRI study.
NeuroImage
Michael Lindner, Tanja Hundhammer, Angela Ciaramidaro, David E. J. Linden, Thomas Mussweiler
2007 A conf
Matrix-based representation for coordination fault detection: a formal approach.
AAMAS
Meir Kalech, Michael Lindner, Gal A. Kaminka
2007 A conf
Matrix-based representation for coordination fault detection: a formal approach.
AAMAS
Meir Kalech, Michael Lindner, Gal A. Kaminka