2 papers
cs.AI2025
Developing a Foundation of Vector Symbolic Architectures Using Category Theory
Nolan P Shaw, P Michael Furlong, Britt Anderson +1
Connectionist approaches to machine learning, \emph{i.e.} neural networks, are enjoying a considerable vogue right now. However, these methods require large volumes of data and pro…
cs.NE2024
Improved Cleanup and Decoding of Fractional Power Encodings
Alicia Bremer, Jeff Orchard
High-dimensional vectors have been proposed as a neural method for representing information in the brain using Vector Symbolic Algebras (VSAs). While previous work has explored dec…