Luke Dicks

According to our database, Luke Dicks authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Refining embeddings with fill-tuning: data-efficient generalised performance improvements for materials foundation models.

Matthew P. Wilson, Edward O. Pyzer-Knapp, Nicolas Galichet, Luke Dicks

CoRR, February, 2025

2024

Explainable Gaussian processes: a loss landscape perspective.

Maximilian P. Niroomand, Luke Dicks, Edward O. Pyzer-Knapp, David J. Wales

Mach. Learn. Sci. Technol., 2024

TopSearch: a Python package for topographical analysis of machine learning models and physical systems.

Luke Dicks, Edward O. Pyzer-Knapp

J. Open Source Softw., 2024

2023

Evolution of K-means solution landscapes with the addition of dataset outliers and a robust clustering comparison measure for their analysis.

Luke Dicks, David J. Wales

CoRR, 2023

Physics Inspired Approaches Towards Understanding Gaussian Processes.

Maximilian P. Niroomand, Luke Dicks, Edward O. Pyzer-Knapp, David J. Wales

CoRR, 2023

2021

K-means landscapes: exploring clustering solution spaces using energy landscape theory

Luke Dicks

PhD thesis, 2021