Michael T Schaub

9PUBLICATIONS
25CO-AUTHORS
Context learningIntegrable systems (classical and quantum)Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)Computational ecology and phylogeneticsNeural networks
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Publications (9)

|Aug 07, 2026
Higher-order trade-offs in hypergraph community detection.

|Jul 27, 2026
Phase locking and multistability in the topological Kuramoto model on cell complexes.

|Feb 16, 2026
Graph neural networks for computational nephrology.

Michael T Schaub, Peter Boor

|Oct 23, 2025
PHLOWER leverages single-cell multimodal data to infer complex, multi-branching cell differentiation trajectories.

Mingbo Cheng, Jitske Jansen, Katharina C Reimer

|Jun 24, 2025
Improving the noise estimation of latent neural stochastic differential equations.

L Heck, M Gelbrecht, M T Schaub

|May 08, 2024
Learning the effective order of a hypergraph dynamical system.

Leonie Neuhäuser, Michael Scholkemper, Francesco Tudisco

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Frequent Collaborators

2 joint publications

James S Nagai

2 joint publications

Rafael Kramann

2 joint publications

Christoph Kuppe

2 joint publications

Ivan G Costa