Bifurcations and loss jumps in RNN training. - Lukas Eisenmann; Zahra Monfared; Niclas Alexander Göring; Daniel Durstewitz (NeurIPS, 2023)

Out-of-Domain Generalization in Dynamical Systems Reconstruction. - Niclas Alexander Göring; Florian Hess; Manuel Brenner; Zahra Monfared; Daniel Durstewitz (ICML, 2024)

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking). - Yoonsoo Nam; Seok Hyeong Lee; Clémentine Dominé; Yea Chan Park; Charles London; Wonyl Choi; Niclas Alexander Göring; Seungjai Lee (CoRR, 2025)

Characterising the Inductive Biases of Neural Networks on Boolean Data. - Chris Mingard; Lukas Seier; Niclas Alexander Göring; Andrei-Vlad Badelita; Charles London; Ard A. Louis (CoRR, 2025)

Feature learning is decoupled from generalization in high capacity neural networks. - Niclas Alexander Göring; Charles London; Abdurrahman Hadi Erturk; Chris Mingard; Yoonsoo Nam; Ard A. Louis (CoRR, 2025)