Building a brain with SYCL and modern C++. - Toby St Clere Smithe; Ralph Potter (IWOCL, 2018)

Radically Compositional Cognitive Concepts. - Toby St Clere Smithe (CoRR, 2019)

Cyber Kittens, or Some First Steps Towards Categorical Cybernetics. - Toby St Clere Smithe (ACT, 2020)

Polynomial Life: the Structure of Adaptive Systems. - Toby St Clere Smithe (ACT, 2021)

Category Theory for Cognitive Science. - Britt Anderson; Steven Phillips; Toby St Clere Smithe; Geoffrey S. H. Cruttwell (CogSci, 2022)

Open dynamical systems as coalgebras for polynomial functors, with application to predictive processing. - Toby St Clere Smithe (ACT, 2022)

Compositional Active Inference II: Polynomial Dynamics. Approximate Inference Doctrines. - Toby St Clere Smithe (CoRR, 2022)

Designing Ecosystems of Intelligence from First Principles. - Karl J. Friston; Maxwell J. D. Ramstead; Alex B. Kiefer; Alexander Tschantz; Christopher L. Buckley; Mahault Albarracin; Riddhi J. Pitliya; Conor Heins; Brennan Klein; Beren Millidge; Dalton A. R. Sakthivadivel; Toby St Clere Smithe; et al. (CoRR, 2022)

Mathematical Foundations for a Compositional Account of the Bayesian Brain. - Toby St Clere Smithe (CoRR, 2022)

The Compositional Structure of Bayesian Inference. - Dylan Braithwaite; Jules Hedges; Toby St Clere Smithe (MFCS, 2023)

Approximate Inference via Fibrations of Statistical Games. - Toby St Clere Smithe (ACT, 2023)

Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy. - Sean Tull; Johannes Kleiner; Toby St Clere Smithe (CoRR, 2023)

Structured Active Inference (Extended Abstract). - Toby St Clere Smithe (CoRR, 2024)

Shared Protentions in Multi-Agent Active Inference. - Mahault Albarracin; Riddhi J. Pitliya; Toby St Clere Smithe; Daniel Ari Friedman; Karl J. Friston; Maxwell J. D. Ramstead (Entropy, 2024)

AutoBayes: A Compositional Framework for Generalized Variational Inference. - Toby St Clere Smithe; Marco Perin (CoRR, 2025)