Develo** methods to process irregularly structured data is crucial in applications like gene-
regulatory, brain, power, and socioeconomic networks. Graphs have been the go-to …

Large language models (LLMs) achieve remarkable predictive capabilities but remain
opaque in their internal reasoning, creating a pressing need for more interpretable artificial …

We introduce a matrix version of the stochastic heat equation, the MSHE, and obtain its
explicit invariant measure in spatial dimension $ D= 1$. We show that it is classically …

Circular and non-flat data distributions are prevalent across diverse domains of data
science, yet their specific geometric structures often remain underutilized in machine …