Previous studies and our findings suggest upregulated expression of proinflammatory
chemokines CCL3/4 in germinal center (GC) centrocytes. However, the role of CCL3/4 for …

Transformer models underpin many recent advances in practical machine learning applications,
yet understanding their internal behavior continues to elude researchers. Given the size …

Understanding how machine learning models respond to distributional shifts is a key
research challenge. Mazes serve as an excellent testbed due to varied generation algorithms …

Recent work has suggested that certain neural network architectures-particularly recurrent
neural networks (RNNs) and implicit neural networks (INNs) are capable of logical …

Because of the rapid development and increasing public availability of Generative Artificial
Intelligence (GenAI) models and tools, educational institutions and educators must …

Transformer models underpin many recent advances in practical machine learning applications,
yet understanding their internal behavior continues to elude researchers. Given the size …

The emergence of seemingly similar representations across tasks and neural architectures
suggests that convergent properties may underlie sophisticated behavior. One form of …

Understanding how machine learning models respond to distributional shifts is a key
research challenge. Mazes serve as an excellent testbed due to varied generation algorithms …

A hallmark of adaptive humoral immunity is formation of germinal centers (GC), the site of B
cell antigen-dependent clonal expansion, immunoglobulin diversification, and affinity …

The Gromov-Wasserstein (GW) distances define a family of metrics, based on ideas from
optimal transport, which enable comparisons between probability measures defined on distinct …