21 citations · 45 across the 11 of their papers we have counts for
4 papers · 1 filter
Functorial Manifold Learning
Dan Shiebler
We adapt previous research on category theory and topological unsupervised learning to develop a functorial perspective on manifold learning, also known as nonlinear dimensionality…
Tuning Word2vec for Large Scale Recommendation Systems
Benjamin P. Chamberlain, Emanuele Rossi, Dan Shiebler +2
Word2vec is a powerful machine learning tool that emerged from Natural Lan-guage Processing (NLP) and is now applied in multiple domains, including recom-mender systems, forecastin…
Categorical Stochastic Processes and Likelihood
Dan Shiebler
In this work we take a Category Theoretic perspective on the relationship between probabilistic modeling and function approximation. We begin by defining two extensions of function…
Incremental Monoidal Grammars
Dan Shiebler, Alexis Toumi, Mehrnoosh Sadrzadeh
In this work we define formal grammars in terms of free monoidal categories, along with a functor from the category of formal grammars to the category of automata. Generalising fro…