Kieron Burke

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 5

Top Topics

Machine Learning

Explanation Based Learning

Histogram Intersection

Kernel Ridge Regression

Top Venues

Empirical Inference

Publications

Bhupalee Kalita, Kieron Burke
Using Machine Learning to Find New Density Functionals. CoRR (2021)
Bhupalee Kalita, Ryan Pederson, Li Li, Kieron Burke
Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems. CoRR (2021)
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. CoRR (2020)
Felix Brockherde, Li Li, Kieron Burke, Klaus-Robert Müller
By-passing the Kohn-Sham equations with machine learning. CoRR (2016)
Kevin Vu, John C. Snyder, Li Li, Matthias Rupp, Brandon F. Chen, Tarek Khelif, Klaus-Robert Müller, Kieron Burke
Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals. CoRR (2015)
Li Li, John C. Snyder, Isabelle M. Pelaschier, Jessica Huang, Uma-Naresh Niranjan, Paul Duncan, Matthias Rupp, Klaus-Robert Müller, Kieron Burke
Understanding Machine-learned Density Functionals. CoRR (2014)
John C. Snyder, Sebastian Mika, Kieron Burke, Klaus-Robert Müller
Kernels, Pre-images and Optimization. Empirical Inference (2013)
John C. Snyder, Matthias Rupp, Katja Hansen, Klaus-Robert Müller, Kieron Burke
Finding Density Functionals with Machine Learning CoRR (2011)