Eigenvalue initialisation and regularisation for Koopman autoencoders. - Jack W. Miller; Charles O'Neill; Navid C. Constantinou; Omri Azencot (CoRR, 2022)

Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation. - Charles O'Neill; Yuan-Sen Ting; Ioana Ciuca; Jack W. Miller; Thang D. Bui (CoRR, 2023)

Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content. - Charles O'Neill; Jack W. Miller; Ioana Ciuca; Yuan-Sen Ting; Thang D. Bui (CoRR, 2023)

AstroLLaMA: Towards Specialized Foundation Models in Astronomy. - Tuan Dung Nguyen; Yuan-Sen Ting; Ioana Ciuca; Charlie O'Neill; Zechang Sun; Maja Jablonska; Sandor Kruk; Ernest Perkowski; Jack W. Miller; Jason Li; Josh Peek; Kartheik Iyer; et al. (CoRR, 2023)

Measuring Sharpness in Grokking. - Jack W. Miller; Patrick J. Gleeson; Charles O'Neill; Thang D. Bui; Noam Levi (CoRR, 2024)

Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity. - Jack W. Miller; Charles O'Neill; Thang D. Bui (Trans. Mach. Learn. Res., 2024)