2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
ICML 2022oral
Most of the existing methods for estimating the local intrinsic dimension of a data distribution do not scale well to high dimensional data. Many of them rely on a non-parametric nearest neighbours approach which suffers from the curse of dimensionality. We attempt to address that challenge by propo…