Roland Eils — accepted AI-conference papers

2025

JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model

Qihao Duan, Bingding Huang, Zhenqiao Song, Irina Lehmann, Lei Gu, Roland Eils +1

NeurIPS 2025poster

Large language models (LLMs) have revolutionized natural language processing and are increasingly applied to other sequential data types, including genetic sequences. However, adapting LLMs to genetics presents significant challenges. Capturing complex genomic interactions requires modeling long-ran…

Cited by 0 Source ↗code ↗Scholar ↗

2023

Differentiable sorting for censored time-to-event data.

Andre Vauvelle, Benjamin Wild, Roland Eils, Spiros Denaxas

NeurIPS 2023poster

Survival analysis is a crucial semi-supervised task in machine learning with significant real-world applications, especially in healthcare. The most common approach to survival analysis, Cox’s partial likelihood, can be interpreted as a ranking model optimized on a lower bound of the concordance ind…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗