Thomas L. Lee

According to our database, Thomas L. Lee authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Performance of Zero-Shot Time Series Foundation Models on Cloud Data.

William Toner, Thomas L. Lee, Artjom Joosen, Rajkarn Singh, Martin Asenov

CoRR, February, 2025

Lightweight Online Adaption for Time Series Foundation Model Forecasts.

Thomas L. Lee, William Toner, Rajkarn Singh, Artjom Joosem, Martin Asenov

CoRR, February, 2025

2024

Hyperparameter Selection in Continual Learning.

Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos J. Storkey

CoRR, 2024

Chunking: Continual Learning is not just about Distribution Shift.

Thomas L. Lee, Amos J. Storkey

Proceedings of the Conference on Lifelong Learning Agents, 2024

Approximate Bayesian Class-Conditional Models under Continuous Representation Shift.

Thomas L. Lee, Amos J. Storkey

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Chunking: Forgetting Matters in Continual Learning even without Changing Tasks.

Thomas L. Lee, Amos J. Storkey

CoRR, 2023

Class Conditional Gaussians for Continual Learning.

Thomas L. Lee, Amos J. Storkey

CoRR, 2023