#machine learning
Jun 2026
Neural Field Tokenizations with Hierarchy and Spatial Locality Priors
It is argued that locality and hierarchy are useful priors for learning field representations that can be injected without compromising modality-agnosticism in LH-NeF, a framework to learn general-purpose tokenized representations of continuous signals.
Alonso Urbano, David W. Romero, Max Zimmer et al.
· arXiv.org · 1 citation