Michael Lindner

According to our database, Michael Lindner authored at least 13 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions.

Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann

CoRR, 2024

Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning.

Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner

CoRR, 2024

Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning.

Christian Nauck, Michael Lindner, Nora Molkenthin, Jürgen Kurths, Eckehard Schöll, Jörg Raisch, Frank Hellmann

CoRR, 2024

2023

Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies.

Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral

PLoS Comput. Biol., November, 2023

2022

Towards dynamic stability analysis of sustainable power grids using graph neural networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

Dynamic stability of power grids - new datasets for Graph Neural Networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems.

Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann

Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2022

2021

Predicting Dynamic Stability of Power Grids using Graph Neural Networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann

CoRR, 2021

2020

NetworkDynamics.jl - Composing and simulating complex networks in Julia.

Michael Lindner, Lucas Lincoln, Fenja Drauschke, Julia Monika Koulen, Hans Würfel, Anton Plietzsch, Frank Hellmann

CoRR, 2020

2011

Transfer entropy - a model-free measure of effective connectivity for the neurosciences.

Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa

J. Comput. Neurosci., 2011

2009

A representation for coordination fault detection in large-scale multi-agent systems.

Michael Lindner, Meir Kalech, Gal A. Kaminka

Ann. Math. Artif. Intell., 2009

2008

The neural substrates of person comparison - An fMRI study.

Michael Lindner, Tanja Hundhammer, Angela Ciaramidaro, David E. J. Linden, Thomas Mussweiler

NeuroImage, 2008

2007

Matrix-based representation for coordination fault detection: a formal approach.

Meir Kalech, Michael Lindner, Gal A. Kaminka

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007