2 papers
stat.ML2026
Triply-Scalable Equivariant Gaussian Process Modeling
Tim Steinert, David Ginsbourger
Gaussian processes (GPs) provide principled probabilistic predictions while encoding prior knowledge, including equivariances. Yet, their use in large-scale scientific problems is…
stat.AP2025
Gaussian Process Modeling with Genotype x Environment Kernels for Wheat Performance Prediction
Lea Friedli, Tim Steinert, Nathalie Wuyts +5
Optimizing wheat variety selection for high performance in different environmental conditions is critical for reliable food production and stable incomes for growers. We employ a s…