2 papers
cs.LG2026
SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data
Mingxing Zhang, Nicola Rossberg, Simone Innocente +5
In recent years, machine learning models have been increasingly applied to spectroscopic datasets for chemical and biomedical analysis. For their successful adoption, particularly…
cs.LG2026
Contact-Guided 3D Genome Structure Generation of E. coli via Diffusion Transformers
Mingxin Zhang, Xiaofeng Dai, Yu Yao +1
In this study, we present a conditional diffusion-transformer framework for generating ensembles of three-dimensional Escherichia coli genome conformations guided by Hi-C contact m…