David J. Wales

Orcid: 0000-0002-3555-6645

According to our database1, David J. Wales authored at least 14 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Evolution of K-means solution landscapes with the addition of dataset outliers and a robust clustering comparison measure for their analysis.
CoRR, 2023

Physics Inspired Approaches Towards Understanding Gaussian Processes.
CoRR, 2023

Physics-Inspired Interpretability Of Machine Learning Models.
CoRR, 2023

2022
On the capacity and superposition of minima in neural network loss function landscapes.
Mach. Learn. Sci. Technol., 2022

Characterising the area under the curve loss function landscape.
Mach. Learn. Sci. Technol., 2022

2021
Development of ReaxFF Reactive Force Field for Aqueous Iron-Sulfur Clusters with Applications to Stability and Reactivity in Water.
J. Chem. Inf. Model., 2021

2020
Perspective: new insights from loss function landscapes of neural networks.
Mach. Learn. Sci. Technol., 2020

2019
Go-Kit: A Tool To Enable Energy Landscape Exploration of Proteins.
J. Chem. Inf. Model., 2019

2018
The Loss Surface of XOR Artificial Neural Networks.
CoRR, 2018

2017
Perspective: Energy Landscapes for Machine Learning.
CoRR, 2017

2016
QTAIM and stress tensor interpretation of the (H<sub>2</sub>O)<sub>5</sub> potential energy surface.
J. Comput. Chem., 2016

2012
Erratum: Symmetrization of the AMBER and CHARMM force fields [J. Comp. Chem. 31, 1402].
J. Comput. Chem., 2012

2010
The Energy Landscape, Folding Pathways and the Kinetics of a Knotted Protein.
PLoS Comput. Biol., 2010

Symmetrization of the AMBER and CHARMM force fields.
J. Comput. Chem., 2010


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