Bibliography (7):

1. https://arxiv.org/pdf/2110.11526#page=7&org=deepmind

2. Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

3. Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

4. Deep Information Propagation

5. Neural Networks, Manifolds, and Topology

6. High-performing neural network models of visual cortex benefit from high latent dimensionality

7. Scaling MLPs: A Tale of Inductive Bias