2 papers
q-bio.QM2026
Fold-CP: A Context Parallelism Framework for Biomolecular Modeling
Dejun Lin, Simon Chu, Vishanth Iyer +35
Understanding cellular machinery requires atomic-scale reconstruction of large biomolecular assemblies. However, predicting the structures of these systems has been constrained by…
cs.AI2025
A redescription mining framework for post-hoc explaining and relating deep learning models
Matej MihelÄiÄ, Ivan GrubiÅ¡iÄ, Miha Keber
Deep learning models (DLMs) achieve increasingly high performance both on structured and unstructured data. They significantly extended applicability of machine learning to various…