Evolving Graphs by Graph Programming. - Timothy Atkinson 001; Detlef Plump; Susan Stepney (EuroGP, 2018)

Probabilistic Graph Programs for Randomised and Evolutionary Algorithms. - Timothy Atkinson 001; Detlef Plump; Susan Stepney (ICGT, 2018)

Semantic Neutral Drift. - Timothy Atkinson 001; Detlef Plump; Susan Stepney (CoRR, 2018)

Quantum Program Synthesis: Swarm Algorithms and Benchmarks. - Timothy Atkinson 001; Athena Karsa; John H. Drake; Jerry Swan (EuroGP, 2019)

Evolving graphs with horizontal gene transfer. - Timothy Atkinson 001; Detlef Plump; Susan Stepney (GECCO, 2019)

The Text-Based Adventure AI Competition. - Timothy Atkinson 001; Hendrik Baier; Tara Copplestone; Sam Devlin; Jerry Swan (IEEE Trans. Games, 2019)

Evolving graphs by graph programming. - Timothy Atkinson 001 (2019)

A study on graph representations for genetic programming. - Léo Françoso Dal Piccol Sotto; Paul Kaufmann; Timothy Atkinson 001; Roman Kalkreuth; Márcio Porto Basgalupp (GECCO, 2020)

Horizontal gene transfer for recombining graphs. - Timothy Atkinson 001; Detlef Plump; Susan Stepney (Genet. Program. Evolvable Mach., 2020)

Automatic design of novel potential 3CLpro and PLpro inhibitors. - Timothy Atkinson 001; Saeed Saremi; Faustino J. Gomez; Jonathan Masci (CoRR, 2021)

Graph representations in genetic programming. - Léo Françoso Dal Piccol Sotto; Paul Kaufmann; Timothy Atkinson 001; Roman Kalkreuth; Márcio Porto Basgalupp (Genet. Program. Evolvable Mach., 2021)

Evolving graphs with semantic neutral drift. - Timothy Atkinson 001; Detlef Plump; Susan Stepney (Nat. Comput., 2021)

The Road to General Intelligence, 2 - Jerry Swan; Eric Nivel; Neel Kant; Jules Hedges; Timothy Atkinson 001; Bas R. Steunebrink (Springer, 2022)

EvoTorch: Scalable Evolutionary Computation in Python. - Nihat Engin Toklu; Timothy Atkinson 001; Vojtech Micka; Pawel Liskowski; Rupesh Kumar Srivastava (CoRR, 2023)

Tiny Classifier Circuits: Evolving Accelerators for Tabular Data. - Konstantinos Iordanou; Timothy Atkinson 001; Emre Ozer 001; Jedrzej Kufel; John Biggs; Gavin Brown 001; Mikel Luján (CoRR, 2023)

Bayesian Flow Networks. - Alex Graves; Rupesh Kumar Srivastava; Timothy Atkinson 001; Faustino J. Gomez (CoRR, 2023)