##### Current institution

### RWTH Aachen

##### Research focus

Data-driven dynamic networks

##### Topics

- Model selection
- Random graphs
- Bayesian inference
- Inverse problems
- Effective models
- Computational neuroscience
- Theory of deep learning
- Delay differential equations

##### Main tools

- Markov chain Monte Carlo
- Automatic differentiation
- Stochastic processes
- Neural networks
- Statistical physics

##### Publications

##### Teaching

##### Software projects

##### Academic history

##### Papers

- Learning Interacting Theories from Data

- C. Merger, A. René, K. Fischer, P. Bouss, S. Nestler, D. Dahmen, C. Honerkamp, M. Helias

Physical Review X (2023)

doi: 10.1103/PhysRevX.13.041033

- K. Fischer, A. René, C. Keup, M. Layer, D. Dahmen, M. Helias

Physical Review Research (2022)

doi: 10.1103/PhysRevResearch.4.043143

- A. René, A. Longtin, J. H. Macke

Neural Computation (2020)

doi: 10.1162/neco_a_01292

- A. René, A. Longtin

Chaos (2017)

doi: 10.1063/1.5007866

- S. Varwig, I. Yugova, A. René, T. Kazimierczuk, A. Greilich, D. R. Yakovlev, D. Reuter, A. D. Wieck, M. Bayer

Physical Review B (2014)

doi: 10.1103/PhysRevB.89.081310

- S. Varwig, A. René, Sophia E. Economou, A. Greilich, D. R. Yakovlev, D. Reuter, A. D. Wieck, T. L. Reinecke, M. Bayer

Physical Review B (2014)

doi: 10.1103/PhysRevB.89.081310

- S. Varwig, A. René, A. Greilich, D. R. Yakovlev, D. Reuter, A. D. Wieck, M. Bayer

Physical Review B (2013)

doi: 10.1103/PhysRevB.87.115307

- C. Hsieh, A. René, P. Hawrylak

Physical Review B (2012)

doi: 10.1103/PhysRevB.86.115312