Kieron Burke

According to our database, Kieron Burke authored at least 9 papers between 2011 and 2026.

Collaborative distances:

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

2026

Enhancing molecular dynamics with equivariant machine-learned densities.

Mihail Bogojeski, Muhammad R. Hasyim, Leslie Vogt-Maranto, Klaus-Robert Müller, Kieron Burke, Mark E. Tuckerman

CoRR, April, 2026

2021

Using Machine Learning to Find New Density Functionals.

Bhupalee Kalita, Kieron Burke

CoRR, 2021

Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems.

Bhupalee Kalita, Ryan Pederson, Li Li, Kieron Burke

CoRR, 2021

2020

Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.

Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke

CoRR, 2020

2016

By-passing the Kohn-Sham equations with machine learning.

Felix Brockherde, Li Li, Kieron Burke, Klaus-Robert Müller

CoRR, 2016

2015

Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals.

Kevin Vu, John C. Snyder, Li Li, Matthias Rupp, Brandon F. Chen, Tarek Khelif, Klaus-Robert Müller, Kieron Burke

CoRR, 2015

2014

Understanding Machine-learned Density Functionals.

Li Li, John C. Snyder, Isabelle M. Pelaschier, Jessica Huang, Uma-Naresh Niranjan, Paul Duncan, Matthias Rupp, Klaus-Robert Müller, Kieron Burke

CoRR, 2014

2013

Kernels, Pre-images and Optimization.

John C. Snyder, Sebastian Mika, Kieron Burke, Klaus-Robert Müller

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2011

Finding Density Functionals with Machine Learning

John C. Snyder, Matthias Rupp, Katja Hansen, Klaus-Robert Müller, Kieron Burke

CoRR, 2011