Jessica Huang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Understanding machine‐learned density functionals	2015	Li Li John Snyder Isabelle M. Pelaschier Jessica Huang Uma‐Naresh Niranjan Paul Duncan Matthias Rupp Klaus‐Robert Müller Kieron Burke
+	Understanding Machine-learned Density Functionals	2014	Li Li John Snyder Isabelle M. Pelaschier Jessica Huang Uma‐Naresh Niranjan Paul Duncan Matthias Rupp Klaus‐Robert Müller Kieron Burke

Common Coauthors

Coauthor	Papers Together
Matthias Rupp	2
Isabelle M. Pelaschier	2
Paul Duncan	2
Uma‐Naresh Niranjan	2
Kieron Burke	2
Li Li	2
Klaus‐Robert Müller	2
John Snyder	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Machine learning in automated text categorization	2002	Fabrizio Sebastiani	2
+ PDF Chat	Issues and challenges in orbital-free density functional calculations	2012	Valentin V. Karasiev S. B. Trickey	2
+ PDF Chat	Finding Density Functionals with Machine Learning	2012	John Snyder Matthias Rupp Katja Hansen Klaus‐Robert Müller Kieron Burke	2
+	XVI. Functions of positive and negative type, and their connection the theory of integral equations	1909	James W. Mercer	2
+ PDF Chat	Orbital-free bond breaking via machine learning	2013	John Snyder Matthias Rupp Katja Hansen Leo Blooston Klaus‐Robert Müller Kieron Burke	2
+ PDF Chat	Machine learning of molecular electronic properties in chemical compound space	2013	Grégoire Montavon Matthias Rupp Vivekanand V. Gobre Álvaro Vázquez‐Mayagoitia Katja Hansen Alexandre Tkatchenko Klaus‐Robert Müller O. Anatole von Lilienfeld	2
+ PDF Chat	Properties of constraint-based single-point approximate kinetic energy functionals	2009	Valentin V. Karasiev R. S. Jones S. B. Trickey Frank E. Harris	2
+ PDF Chat	Solving ordinary differential equations I. nonstiff problems	1987	Ernst Hairer Syvert P. Nørsett Gerhard Wanner	2
+ PDF Chat	Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons	2010	Albert P. Bartók M. C. Payne Risi Kondor Gábor Cśanyi	2
+ PDF Chat	Understanding and Reducing Errors in Density Functional Calculations	2013	Min Cheol Kim Eunji Sim Kieron Burke	2
+ PDF Chat	Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning	2012	Matthias Rupp Alexandre Tkatchenko Klaus‐Robert Müller O. Anatole von Lilienfeld	2
+ PDF Chat	Many-Electron Approaches in Physics, Chemistry and Mathematics	2014	Volker Bach Luigi Delle Site	1
+ PDF Chat	Analysis of the Λb → Λℓ+ℓ− transition in the SM4 using form factors from full QCD	2012	K. Azizi Nihan Katırcı	1
+ PDF Chat	How to represent crystal structures for machine learning: Towards fast prediction of electronic properties	2014	Kristof T. Schütt Henning Glawe Felix Brockherde Antonio Sanna K. Müller E. K. U. Gross	1
+ PDF Chat	Self-Averaging Stochastic Kohn-Sham Density-Functional Theory	2013	Roi Baer Daniel Neuhauser Eran Rabani	1
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	1
+ PDF Chat	Understanding kernel ridge regression: Common behaviors from simple functions to density functionals	2015	Kevin Vu John Snyder Li Li Matthias Rupp Brandon F. Chen Tarek Khelif Klaus‐Robert Müller Kieron Burke	1
+	Kernel methods in machine learning	2008	Thomas Hofmann Bernhard Schölkopf Alexander J. Smola	1