One important goal of cognitive science is to understand the mind in terms of its
representational and computational capacities, where computational modeling plays an …

Although generative models are still being developed, image reconstruction and generation
tasks have evolved dramatically. Since the most popular generative models still have some …

Gaussian mixture model (GMM) is widely used in many domains, eg data mining. The
unsupervised learning of the finite mixture (ULFM) model based on the minimum message …

Language models have been shown to reproduce underlying biases existing in their training
data, which is the majority perspective by default. Proposed solutions aim to capture minority …

Gaussian Mixture Models (GMMs) range among the most frequently used machine learning
models. However, training large, general GMMs becomes computationally prohibitive for …

Recently skew-t mixture models have been introduced as a flexible probabilistic modeling
technique taking into account both skewness in data clusters and the statistical degree of …