Graph-based manifold learning and diffusion processes provide a powerful framework for extracting intrinsic geometric features from high-dimensional data. By constructing a graph where nodes represent ...

Mathematical modelling has emerged as an indispensable tool in understanding and optimising biosensor performance and reaction-diffusion processes. By coupling differential equations that describe ...

We study the interplay between the diffusion of a harmful state in a network of contacts and the possibility of individual agents to undertake costly investment to protect themselves against infection ...

But out of 300,000 high-probability images tested, researchers found a 0.03% memorization rate. However, Carlini’s results are not as clear-cut as they may first appear. Discovering instances of ...