Noa Rubin

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

2025 · JuSER (Forschungszentrum Jülich)

Feature learning in neural networks is crucial for their expressive power and inductive biases, motivating various theoretical approaches. Some approaches describe network behavior after training through a change in kernel scale from initialization, resulting in …