Pre-prints

2025

• Bouss P., Nestler S., Fischer K., Merger C., René A., Helias M. (2025) Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows.
  arXiv: 10.48550/arXiv.2506.12187
  
  
• Foos N., Epping B., Grundler J., Ciobanu A., Singh A., Bode T., Helias M., Dahmen D. (2025) Beyond-mean-field fluctuations for the solution of constraint satisfaction problems.
  arXiv: 10.48550/arXiv.2507.10360
  
  
• Ringel Z., Rubin N., Mor E., Helias M., Seroussi I. (2025 ) Applications of Statistical Field Theory in Deep Learning.
  arXiv: 10.48550/arxiv.2502.18553
  
  
• Rubin N., Fischer K., Lindner J., Dahmen D., Seroussi I., Ringel Z., Krämer M., Helias M. (2025) From Kernels to Features: A Multi-scale Adaptive Theory of Feature Learning.
  arXiv: 10.48550/arXiv.2502.03210
  
  
• Schutzeichel L., Bauer J., Bouss P., Musall S., Dahmen D., Helias M. (2025) Transient recurrent dynamics shape representations in mice.
  bioRxiv: 10.1101/2025.06.17.659440
  
  

2024

• Epping B., René A., Helias M., Schaub MT. (2014) Graph Neural Networks Do Not Always Oversmooth.
  arXiv: 10.48550/arXiv.2406.02269
  
  
• Jiang H.-J., Aćimović J., Manninen T., Ahokainen I., Stapmanns J., Lehtimäki M., Diesmann M., van Albada SJ., Plesser HE., Linne M.-L. (2024) Modeling Neuron-astrocyte Interactions in Neural Networks Using Distributed Simulation.
  bioRxiv: 10.1101/2024.11.11.622953
  
  Kurth AC., Albers J., Diesmann M. , van Albada SJ. (2024) Cell-type specific projection patterns promote balanced activity in cortical microcircuits.
  bioRxiv: 2024.10.03.616539
  
  
• Ness TV., Tetzlaff T., Einevoll GT., Dahmen D. (2024) On the validity of electric brain signal predictions based on population firing rates.
  bioRxiv: 10.1101/2024.07.10.602833
  
  

2023

• Fischer K., David D., Helias M. (2023) Optimal signal propagation in ResNets through residual scaling. Submitted to NeurIPS 2023.
  arXiv: https://arxiv.org/abs/2305.07715
  
  

2022

• Keup C., Helias M. (2022) Origami in N dimensions: How feed-forward networks manufacture linear separability.
  arXiv: 10.48550/arXiv.2203.11355
  
  
• Korcsak-Gorzo A., Linssen C., Albers J., Dasbach S., Duarte R., Kunkel S., Morrison A., Senk J., Stapmanns J., Tetzlaff T., Diesmann M., van Albada SJ. (2022) Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density. arXiv: 10.48550/arXiv.2212.05354
  
  
• Stubenrauch J., Keup C., Kurth AC., Helias M., van Meegen A. (2022) Phase Space Analysis of Chaotic Neural Networks.
  arXiv: 10.48550/arXiv.2210.07877