2 papers
cs.LG2026
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
Oscar Rivera, Ziqing Wang, Matthieu Dagommer +2
Machine learning accelerates molecular property prediction, yet state-of-the-art Large Language Models and Graph Neural Networks operate as black boxes. In drug discovery, where sa…
eess.IV2025
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)
Yanting Yang, Yiren Zhang, Zongyu Li +3
Deep complex-valued neural networks (CVNNs) provide a powerful way to leverage complex number operations and representations and have succeeded in several phase-based applications.…