10 citations · 14 across the 5 of their papers we have counts for
3 papers · 1 filter
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak +1
Local intrinsic dimension (LID) estimation methods have received a lot of attention in recent years thanks to the progress in deep neural networks and generative modeling. In oppos…
One Simple Trick to Fix Your Bayesian Neural Network
Piotr Tempczyk, Ksawery Smoczyński, Philip Smolenski-Jensen +1
One of the most popular estimation methods in Bayesian neural networks (BNN) is mean-field variational inference (MFVI). In this work, we show that neural networks with ReLU activa…
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk, Rafał Michaluk, Łukasz Garncarek +3
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 n…