Robuta

A new approach to estimate laboratory biases in interlaboratory comparisons is presented.

Bibliographic details on Level generation for angry birds with sequential VAE and latent variable evolution.

PheLEx shows promise in reanalyzing GWAS datasets to provide supplemental candidate loci that are ignored by traditional GWAS analysis methodologies.

Abstract page for arXiv paper 2506.01893: Variational Inference for Latent Variable Models in High Dimensions

As with many health constructs, cognition is difficult to measure accurately; it is assessed by multiple psychometric tests. Two approaches are commonly...

Latent variable mixture modeling represents a flexible approach to investigating population heterogeneity by sorting cases into latent but non-arbitrary...

10/16/20 - The learning and evaluation of energy-based latent variable models (EBLVMs) without any structural assumptions are highly challeng...

Addressing selection bias in latent variable causal discovery is important yet underexplored, largely due to a lack of suitable statistical tools: While...