2 papers
stat.ML2024
Investigating Self-Supervised Image Denoising with Denaturation
Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa +2
Self-supervised learning for image denoising problems in the presence of denaturation for noisy data is a crucial approach in machine learning. However, theoretical understanding o…
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…