Thomas L. Lee

According to our database, Thomas L. Lee authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Adapting Time Series Foundation Models through Data Mixtures.

Thomas L. Lee, Edoardo M. Ponti, Amos J. Storkey

CoRR, March, 2026

Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting.

Benjamin R. Redhead, Thomas L. Lee, Peng Gu, Víctor Elvira, Amos J. Storkey

CoRR, February, 2026

2025

Forgetting is Everywhere.

Ben Sanati, Thomas L. Lee, Trevor McInroe, Aidan Scannell, Nikolay Malkin, David Abel, Amos Storkey

CoRR, November, 2025

Lightweight Online Adaption for Time Series Foundation Model Forecasts.

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

CoRR, February, 2025

Lightweight Online Adaption for Time Series Foundation Model Forecasts.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, 2025

2024

Hyperparameter Selection in Continual Learning.

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

CoRR, 2024

Chunking: Continual Learning is not just about Distribution Shift.

Thomas L. Lee, Amos 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 Storkey

CoRR, 2023

Class Conditional Gaussians for Continual Learning.

Thomas L. Lee, Amos Storkey

CoRR, 2023