5 citations · 6 across the 3 of their papers we have counts for
3 papers
A Metric for Linear Symmetry-Based Disentanglement
Luis A. Pérez Rey, Loek Tonnaer, Vlado Menkovski +2
The definition of Linear Symmetry-Based Disentanglement (LSBD) proposed by (Higgins et al., 2018) outlines the properties that should characterize a disentangled representation tha…
Quantifying and Learning Linear Symmetry-Based Disentanglement
Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski +2
The definition of Linear Symmetry-Based Disentanglement (LSBD) formalizes the notion of linearly disentangled representations, but there is currently no metric to quantify LSBD. Su…
Anomaly Detection for imbalanced datasets with Deep Generative Models
Nazly Rocio Santos Buitrago, Loek Tonnaer, Vlado Menkovski +1
Many important data analysis applications present with severely imbalanced datasets with respect to the target variable. A typical example is medical image analysis, where positive…