Sparse hierarchical representation learning on molecular graphs. - Matthias Bal; Hagen Triendl; Mariana Assmann; Michael Craig; Lawrence Phillips; Jarvist Moore Frost; Usman Bashir; Noor Shaker; Vid Stojevic (CoRR, 2019)

Improving generalisability of 3D binding affinity models in low data regimes. - Julia Buhmann; Ward Haddadin; Lukás Pravda; Alan Bilsland; Hagen Triendl (CoRR, 2024)

Addressing label noise for electronic health records: insights from computer vision for tabular data. - Jenny Yang; Hagen Triendl; Andrew A. S. Soltan; Mangal Prakash; David A. Clifton (BMC Medical Informatics Decis. Mak., 2024)

No Foundations without Foundations - Why semi-mechanistic models are essential for regulatory biology. - Luka Kovacevic; Thomas Gaudelet; James Opzoomer; Hagen Triendl; John Whittaker; Caroline Uhler; Lindsay Edwards; Jake P. Taylor-King (CoRR, 2025)