A theory of data variability in Neural Network Bayesian inference. - Javed Lindner; David Dahmen; Michael Krämer; Moritz Helias (CoRR, 2023)

Critical feature learning in deep neural networks. - Kirsten Fischer; Javed Lindner; David Dahmen; Zohar Ringel; Michael Krämer; Moritz Helias (ICML, 2024)

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning. - Noa Rubin; Kirsten Fischer; Javed Lindner; David Dahmen; Inbar Seroussi; Zohar Ringel; Michael Krämer; Moritz Helias (CoRR, 2025)