src is ready to run: DQMC on 2D Bipartite Hubbard model. notebooks are not organized: RPA comparison and post analyzing. A comprehensive computational study of the two-dimensional Hubbard model ...

Feature correlation is one of the most critical yet misunderstood concepts in machine learning. When features are highly correlated, they don't just add redundancy – they fundamentally break the ...

We are often required to use context or top-down goals to select relevant information from a sensory stream, ignore irrelevant information and guide further action. For example, if we hear our name ...

Single-cell RNA-sequencing (scRNA-seq) technologies have revolutionized modern biomedical sciences. A fundamental challenge is to incorporate spatial information to study tissue organization and ...