Niclas Alexander Göring

According to our database, Niclas Alexander Göring authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A simple mean field model of feature learning.

Niclas Alexander Göring, Chris Mingard, Yoonsoo Nam, Ard A. Louis

CoRR, October, 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, July, 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, May, 2025

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 C. J. Dominé, Yea Chan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee

CoRR, February, 2025

2024

Out-of-Domain Generalization in Dynamical Systems Reconstruction.

Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Bifurcations and loss jumps in RNN training.

Lukas Eisenmann, Zahra Monfared, Niclas Alexander Göring, Daniel Durstewitz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023