3 papers
stat.ML2026
Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation
Carel F. W. Peeters
The common factor analytic model is related to Helmholtz and Boltzmann machines, can be conceived as a linear autoencoder, or can be thought of as a single-hidden-layer generative…
stat.ME2026
REML implementations of kernel-based genomic prediction models for genotype x environment x management interactions
Killian A. C. Melsen, Salvador Gezan, Daniel J. Tolhurst +2
High-throughput pheno-, geno-, and envirotyping allows characterization of plant genotypes and the trials they are evaluated in, producing different types of data. These different…
stat.ME2025
Improving Genomic Prediction using High-dimensional Secondary Phenotypes: the Genetic Latent Factor Approach
Killian A. C. Melsen, Jonathan F. Kunst, José Crossa +4
Decreasing costs and new technologies have led to an increase in the amount of data available to plant breeding programs. High-throughput phenotyping (HTP) platforms routinely gene…