Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Abstract: Revealing the latent low-dimensional geometric structure of high-dimensional data is a crucial task in unsupervised representation learning. Traditional manifold learning, as a typical ...

Proteins, vital macromolecules, are characterized by their amino acid sequences, which dictate their three-dimensional structures and functions in living organisms. Effective generative protein ...

1 College of Science, North China University of Science and Technology, Tangshan, China. 2 Hebei Provincial Key Laboratory of Data Science and Applications, North China University of Science and ...

Abstract: In recent years, the fine-grained classification issue in plants is a hot topical in computer vision. However, most existing fine-grained classification methods focus on finding ...