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2020 – today
- 2024
[i9]Christian Nauck, Michael Lindner, Nora Molkenthin, Jürgen Kurths, Eckehard Schöll, Jörg Raisch, Frank Hellmann:
Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning. CoRR abs/2402.17500 (2024)- [i8]Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner:
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning. CoRR abs/2406.08917 (2024) - [i7]Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann:
Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions. CoRR abs/2407.12419 (2024) - 2023
- [j4]Patricia Wollstadt
, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral:
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. PLoS Comput. Biol. 19(11) (2023) - 2022
- [c3]Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann:
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. OSMSES 2022: 1-6 - [i6]Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral:
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. CoRR abs/2203.10810 (2022) - [i5]Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann:
Dynamic stability of power grids - new datasets for Graph Neural Networks. CoRR abs/2206.06369 (2022) - [i4]Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann:
Towards dynamic stability analysis of sustainable power grids using graph neural networks. CoRR abs/2212.11130 (2022) - 2021
- [i3]Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann:
Predicting Dynamic Stability of Power Grids using Graph Neural Networks. CoRR abs/2108.08230 (2021) - [i2]Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann:
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. CoRR abs/2112.00347 (2021) - 2020
- [i1]Michael Lindner, Lucas Lincoln, Fenja Drauschke, Julia Monika Koulen, Hans Würfel, Anton Plietzsch, Frank Hellmann:
NetworkDynamics.jl - Composing and simulating complex networks in Julia. CoRR abs/2012.12696 (2020)
2010 – 2019
- 2011
- [j3]Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa:
Transfer entropy - a model-free measure of effective connectivity for the neurosciences. J. Comput. Neurosci. 30(1): 45-67 (2011)
2000 – 2009
- 2009
- [j2]Michael Lindner, Meir Kalech, Gal A. Kaminka:
A representation for coordination fault detection in large-scale multi-agent systems. Ann. Math. Artif. Intell. 56(2): 153-186 (2009) - 2008
- [j1]Michael Lindner, Tanja Hundhammer, Angela Ciaramidaro, David E. J. Linden, Thomas Mussweiler:
The neural substrates of person comparison - An fMRI study. NeuroImage 40(2): 963-971 (2008) - 2007
- [c2]Meir Kalech, Michael Lindner, Gal A. Kaminka:
Matrix-based representation for coordination fault detection: a formal approach. AAMAS 2007: 118 - [c1]Meir Kalech, Michael Lindner, Gal A. Kaminka:
Matrix-based representation for coordination fault detection: a formal approach. AAMAS 2007: 162
Coauthor Index
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