4 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ML2023★ 3 cited
Preference Optimization for Molecular Language Models
Ryan Park, Ryan Theisen, Navriti Sahni +3
Molecular language modeling is an effective approach to generating novel chemical structures. However, these models do not \emph{a priori} encode certain preferences a chemist may…
stat.ML2023★ 4 cited
When are ensembles really effective?
Ryan Theisen, Hyunsuk Kim, Yaoqing Yang +2
Ensembling has a long history in statistical data analysis, with many impactful applications. However, in many modern machine learning settings, the benefits of ensembling are less…