Yunrui Li

Learning Molecular Representations from Imperfect Experimental Data: Models, Datasets, and Benchmarking for Biochemical Systems

This dissertation develops machine learning methods for learning molecular and biomolecular representations directly from imperfect experimental data and for evaluating such models in a principled and reproducible manner. The first part focuses on representation learning for the Nuclear Magnetic Resonance (NMR) spectra...