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Michael T Schaub

Showing results (1-10 of 25) with videos related to

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Physical Review. E|October 19, 2024
Detectability of hierarchical communities in networksLeto Peel, Michael T Schaub
Nature Reviews. Nephrology|February 16, 2026
Graph neural networks for computational nephrologyMichael T Schaub, Peter Boor
Journal of Computational Neuroscience|June 14, 2011
The Ising decoder: reading out the activity of large neural ensemblesMichael T Schaub, Simon R Schultz
Journal of Computational Neuroscience|November 16, 2017
Feedforward architectures driven by inhibitory interactionsYazan N Billeh, Michael T Schaub
Physical Review. E|January 15, 2022
Consensus dynamics on temporal hypergraphsLeonie Neuhäuser, Renaud Lambiotte, Michael T Schaub
Physical Review. E|June 17, 2023
Hierarchical community structure in networksMichael T Schaub, Jiaze Li, Leto Peel
Scientific Reports|April 1, 2016
Using higher-order Markov models to reveal flow-based communities in networksVsevolod Salnikov, Michael T Schaub, Renaud Lambiotte
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Encoding dynamics for multiscale community detection: Markov time sweeping for the map equationMichael T Schaub, Renaud Lambiotte, Mauricio Barahona
Physical Review Letters|August 30, 2021
State Aggregations in Markov Chains and Block Models of NetworksMauro Faccin, Michael T Schaub, Jean-Charles Delvenne
Science Advances|May 8, 2024
Learning the effective order of a hypergraph dynamical systemLeonie Neuhäuser, Michael Scholkemper, Francesco Tudisco, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Physical Review. E|October 19, 2024
Detectability of hierarchical communities in networksLeto Peel, Michael T Schaub
Nature Reviews. Nephrology|February 16, 2026
Graph neural networks for computational nephrologyMichael T Schaub, Peter Boor
Journal of Computational Neuroscience|June 14, 2011
The Ising decoder: reading out the activity of large neural ensemblesMichael T Schaub, Simon R Schultz
Journal of Computational Neuroscience|November 16, 2017
Feedforward architectures driven by inhibitory interactionsYazan N Billeh, Michael T Schaub
Physical Review. E|January 15, 2022
Consensus dynamics on temporal hypergraphsLeonie Neuhäuser, Renaud Lambiotte, Michael T Schaub
Physical Review. E|June 17, 2023
Hierarchical community structure in networksMichael T Schaub, Jiaze Li, Leto Peel
Scientific Reports|April 1, 2016
Using higher-order Markov models to reveal flow-based communities in networksVsevolod Salnikov, Michael T Schaub, Renaud Lambiotte
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Encoding dynamics for multiscale community detection: Markov time sweeping for the map equationMichael T Schaub, Renaud Lambiotte, Mauricio Barahona
Physical Review Letters|August 30, 2021
State Aggregations in Markov Chains and Block Models of NetworksMauro Faccin, Michael T Schaub, Jean-Charles Delvenne
Science Advances|May 8, 2024
Learning the effective order of a hypergraph dynamical systemLeonie Neuhäuser, Michael Scholkemper, Francesco Tudisco, et al.
Pageof 3