Efficient, probabilistic analysis of combinatorial neural codes. - Thomas F. Burns; Irwansyah (CoRR, 2022)

Simplicial Hopfield networks. - Thomas F. Burns; Tomoki Fukai (ICLR, 2023)

Detecting danger in gridworlds using Gromov's Link Condition. - Thomas F. Burns; Robert Tang (Trans. Mach. Learn. Res., 2023)

Semantically-correlated memories in a dense associative model. - Thomas F. Burns (ICML, 2024)

Generative AI Policy and Governance Considerations for Health Security in Southeast Asia. - Thomas F. Burns (CoRR, 2024)

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture. - Thomas F. Burns; Tomoki Fukai; Christopher J. Earls (CoRR, 2024)

Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions. - Anna Hedström; Philine Lou Bommer; Thomas F. Burns; Sebastian Lapuschkin; Wojciech Samek; Marina M.-C. Höhne (Trans. Mach. Learn. Res., 2025)

Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation. - Thomas F. Burns; Letitia Parcalabescu; Stephan Wäldchen; Michael Barlow; Gregor Ziegltrum; Volker Stampa; Bastian Harren; Björn Deiseroth (CoRR, 2025)