2 papers
cs.LG2026
BBOmix: A Tabular Benchmark for Hyperparameter Optimization of Unsupervised Biological Representation Learning
Luca Thale-Bombien, Jan Ewald, Ralf König +1
The rapid advancement of high-throughput sequencing has led to large, high-dimensional omics datasets. Deep unsupervised learning architectures, particularly Autoencoders (AEs), ar…
cs.LG2026
An Open-Source Training Dataset for Foundation Models for Black-box Optimization
Aaron Klein, Herilalaina Rakotoarison, Luca Thale-Bombien +1
Most black-box optimization methods require extensive hyperparameter tuning, often limiting their ability to generalize across different optimization domains. Foundation models for…