2 papers
q-bio.QM2024
Deep Mapper: Efficient Visualization of Plausible Conformational Pathways
Ziyad Oulhaj, Yoshiyuki Ishii, Kento Ohga +6
Acquiring plausible pathways on high-dimensional structural distributions is beneficial in several domains. For example, in the drug discovery field, a protein conformational pathw…
stat.ML2024
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
Charles Arnal, Felix Hensel, Mathieu Carrière +4
Despite their successful application to a variety of tasks, neural networks remain limited, like other machine learning methods, by their sensitivity to shifts in the data: their p…