Michael Lindner

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 11

Top Topics

Predictive Coding

Stability Analysis

Environmentally Friendly

Top Venues

PLoS Comput. Biol.

Publications

Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning. CoRR (2024)
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 (2024)
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 (2024)
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)
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)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
Towards dynamic stability analysis of sustainable power grids using graph neural networks. CoRR (2022)
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 (2022)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
Dynamic stability of power grids - new datasets for Graph Neural Networks. CoRR (2022)
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 (2021)
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 (2021)
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 (2020)
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) (2011)
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) (2009)
Michael Lindner, Tanja Hundhammer, Angela Ciaramidaro, David E. J. Linden, Thomas Mussweiler
The neural substrates of person comparison - An fMRI study. NeuroImage 40 (2) (2008)
Meir Kalech, Michael Lindner, Gal A. Kaminka
Matrix-based representation for coordination fault detection: a formal approach. AAMAS (2007)
Meir Kalech, Michael Lindner, Gal A. Kaminka
Matrix-based representation for coordination fault detection: a formal approach. AAMAS (2007)