3 papers
cs.LG2026
Neural Point-Forms
Bruno Trentini, Jacob Hume, Vincenzo Antonio Isoldi +3
Point cloud learning often rests on the premise that observed samples are noisy traces of an underlying geometric object, such as a manifold embedded in a high-dimensional feature…
cs.LG2025
On the Sheafification of Higher-Order Message Passing
Jacob Hume, Pietro Liò
Recent work in Topological Deep Learning (TDL) seeks to generalize graph learning's preeminent paradigm to more complex relational structures: simplicial comple…
cs.SI2024
A Spectral Framework for Tracking Communities in Evolving Networks
Jacob Hume, Laura Balzano
Discovering and tracking communities in time-varying networks is an important task in network science, motivated by applications in fields ranging from neuroscience to sociology. I…