A theory of representation learning gives a deep generalisation of kernel methods. - Adam X. Yang; Maxime Robeyns; Edward Milsom; Ben Anson; Nandi Schoots; Laurence Aitchison (ICML, 2023)

Taylor TD-learning. - Michele Garibbo; Maxime Robeyns; Laurence Aitchison (NeurIPS, 2023)

Bayesian Low-rank Adaptation for Large Language Models. - Adam X. Yang; Maxime Robeyns; Xi Wang; Laurence Aitchison (ICLR, 2024)

Bayesian Reward Models for LLM Alignment. - Adam X. Yang; Maxime Robeyns; Thomas Coste; Jun Wang 012; Haitham Bou-Ammar; Laurence Aitchison (CoRR, 2024)

A Self-Improving Coding Agent. - Maxime Robeyns; Martin Szummer; Laurence Aitchison (CoRR, 2025)

Improving LLM-Generated Code Quality with GRPO. - Maxime Robeyns; Laurence Aitchison (CoRR, 2025)