Class Conditional Gaussians for Continual Learning. - Thomas L. Lee; Amos J. Storkey (CoRR, 2023)

Chunking: Forgetting Matters in Continual Learning even without Changing Tasks. - Thomas L. Lee; Amos J. Storkey (CoRR, 2023)

Approximate Bayesian Class-Conditional Models under Continuous Representation Shift. - Thomas L. Lee; Amos J. Storkey (AISTATS, 2024)

Chunking: Continual Learning is not just about Distribution Shift. - Thomas L. Lee; Amos J. Storkey (CoLLAs, 2024)

Hyperparameter Selection in Continual Learning. - Thomas L. Lee; Sigrid Passano Hellan; Linus Ericsson; Elliot J. Crowley; Amos J. Storkey (CoRR, 2024)

Lightweight Online Adaption for Time Series Foundation Model Forecasts. - Thomas L. Lee; William Toner; Rajkarn Singh; Artjom Joosem; Martin Asenov (CoRR, 2025)

Performance of Zero-Shot Time Series Foundation Models on Cloud Data. - William Toner; Thomas L. Lee; Artjom Joosen; Rajkarn Singh; Martin Asenov (CoRR, 2025)