3k citations · 6.9k across the 62 of their papers we have counts for
64 papers
Evolution of -means solution landscapes with the addition of dataset outliers and a robust clustering comparison measure for their analysis
Luke Dicks, David J. Wales
The -means algorithm remains one of the most widely-used clustering methods due to its simplicity and general utility. The performance of -means depends upon location of mini…
Physics Inspired Approaches To Understanding Gaussian Processes
Maximilian P. Niroomand, Luke Dicks, Edward O. Pyzer-Knapp +1
Prior beliefs about the latent function to shape inductive biases can be incorporated into a Gaussian Process (GP) via the kernel. However, beyond kernel choices, the decision-maki…
Archetypal solution spaces for clustering gene expression datasets in identification of cancer subtypes
Yuchen Wu, Luke Dicks, David J. Wales
Gene expression profiles are essential in identifying different cancer phenotypes. Clustering gene expression datasets can provide accurate identification of cancerous cell lines,…
On the mechanism of polaritonic rate suppression from quantum transition paths
Michelle C. Anderson, Esmae J. Woods, Thomas P. Fay +2
Polariton chemistry holds promise for facilitating mode-selective chemical reactions, but the underlying mechanism behind the rate modifications observed under vibrational strong c…
Physics-Inspired Interpretability Of Machine Learning Models
Maximilian P Niroomand, David J Wales
The ability to explain decisions made by machine learning models remains one of the most significant hurdles towards widespread adoption of AI in highly sensitive areas such as med…
Exact electronic states with shallow quantum circuits through global optimisation
Hugh G. A. Burton, Daniel Marti-Dafcik, David P. Tew +1
Quantum computers promise to revolutionise electronic simulations by overcoming the exponential scaling of many-electron problems. While electronic wave functions can be represente…