MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework
Introduces novel MoE architecture for handling multimodal imbalance in molecular analysis, relevant for ML researchers working on scientific AI.
AI Summary
Researchers propose MM-Spectrum, a sparse Mixture-of-Experts framework that improves molecular structure elucidation from spectroscopic data.
Excerpt
Inferring molecular structures from multimodal spectroscopic measurements requires integrating complementary yet highly heterogeneous signals. However, the common paradigm of directly concatenating multispectral sequences can exhibit anomalous performance degradation, primarily due to pronounced heterogeneity and the resulting multimodal imbalance across modalities. As a remedy, we propose MM-Spectrum, a sparse Mixture-of-Experts framework tailored for multimodal multispectral spectra-to-structu