Abstract: Diffusion models indirectly estimate the probability density over a data space, which can be used to study its structure. In this work, we show that geodesics can be computed in diffusion ...

Abstract: The Gaussian mixture probability hypothesis density (GM-PHD) filter is a popular approach in solving multiple-target tracking (MTT) due to its excellent target tracking performance, such as ...

This project serves as a practical exercise to reinforce the concepts of PMF and CDF, two foundational ideas in probability and data analysis. Using a synthetic dataset that simulates the daily ...

Circ-EGFR was identified as a novel predictive biomarker for cetuximab efficacy in KRAS wild-type metastatic colorectal ...

Acetylation of lysine residues in the tail domain of histone H3 is well characterized, but lysine residues in the histone globular domain are also acetylated. Histone modifications in globular domain ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...