2026
Estimating Dimensionality of Neural Representations from Finite Samples
ICLR 2026poster
The global dimensionality of a neural representation manifold provides rich insight into the computational process underlying both artificial and biological neural networks. However, all existing measures of global dimensionality are sensitive to the number of samples, i.e., the number of rows and c…