4 papers · 1 filter
Identification of Bivariate Causal Directionality Based on Anticipated Asymmetric Geometries
Alex Glushkovsky
Identification of causal directionality in bivariate numerical data is a fundamental research problem with important practical implications. This paper presents two alternative met…
Dual Signal Decomposition of Stochastic Time Series
Alex Glushkovsky
The decomposition of a stochastic time series into three component series representing a dual signal - namely, the mean and dispersion - while isolating noise is presented. The dec…
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
Alex Glushkovsky
The periodic table is a fundamental representation of chemical elements that plays essential theoretical and practical roles. The research article discusses the experiences of unsu…
Alternatives of Unsupervised Representations of Variables on the Latent Space
Alex Glushkovsky
The article addresses the application of unsupervised machine learning to represent variables on the 2D latent space by applying a variational autoencoder (beta-VAE). Representatio…