30 citations · 31 across the 3 of their papers we have counts for
3 papers
Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
Felix Teufel, Aaron W. Kollasch, Yining Huang +4
Accurately predicting protein fitness with minimal experimental data is a persistent challenge in protein engineering. We introduce PRIMO (PRotein In-context Mutation Oracle), a tr…
Batched Energy-Entropy acquisition for Bayesian Optimization
Felix Teufel, Carsten Stahlhut, Jesper Ferkinghoff-Borg
Bayesian optimization (BO) is an attractive machine learning framework for performing sample-efficient global optimization of black-box functions. The optimization process is guide…
BEND: Benchmarking DNA Language Models on biologically meaningful tasks
Frederikke Isa Marin, Felix Teufel, Marc Horlacher +4
The genome sequence contains the blueprint for governing cellular processes. While the availability of genomes has vastly increased over the last decades, experimental annotation o…