Kieron Burke

According to our database1, Kieron Burke authored at least 8 papers between 2011 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Using Machine Learning to Find New Density Functionals.
CoRR, 2021

Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems.
CoRR, 2021

2020
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.
CoRR, 2020

2016
By-passing the Kohn-Sham equations with machine learning.
CoRR, 2016

2015
Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals.
CoRR, 2015

2014
Understanding Machine-learned Density Functionals.
CoRR, 2014

2013
Kernels, Pre-images and Optimization.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2011
Finding Density Functionals with Machine Learning
CoRR, 2011


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