John C. Snyder
John C. Snyder
Former Postdoc, Technische Universität Berlin / Max-Planck-Institut für
Verified email at uci.edu
Title
Cited by
Cited by
Year
Finding density functionals with machine learning
JC Snyder, M Rupp, K Hansen, KR Müller, K Burke
Physical review letters 108 (25), 253002, 2012
3302012
Understanding machine‐learned density functionals
L Li, JC Snyder, IM Pelaschier, J Huang, UN Niranjan, P Duncan, M Rupp, ...
International Journal of Quantum Chemistry 116 (11), 819-833, 2016
862016
Orbital-free bond breaking via machine learning
JC Snyder, M Rupp, K Hansen, L Blooston, KR Müller, K Burke
The Journal of chemical physics 139 (22), 224104, 2013
662013
Understanding kernel ridge regression: Common behaviors from simple functions to density functionals
K Vu, JC Snyder, L Li, M Rupp, BF Chen, T Khelif, KR Müller, K Burke
International Journal of Quantum Chemistry 115 (16), 1115-1128, 2015
542015
Communication: Ionization potentials in the limit of large atomic number
LA Constantin, JC Snyder, JP Perdew, K Burke
The Journal of chemical physics 133 (24), 241103, 2010
372010
Nonlinear gradient denoising: Finding accurate extrema from inaccurate functional derivatives
JC Snyder, M Rupp, KR Müller, K Burke
International Journal of Quantum Chemistry 115 (16), 1102-1114, 2015
142015
Kernels, pre-images and optimization
JC Snyder, S Mika, K Burke, KR Müller
Empirical Inference, 245-259, 2013
102013
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
JTC Schwabedal, JC Snyder, A Cakmak, S Nemati, GD Clifford
arXiv preprint arXiv:1806.08675, 2018
22018
Ionization Potentials in the Limit of Large Atomic Number
JC Snyder
University of California, Irvine, 2014
2014
Test of the validity of the gradient expansion for slowly-varying extended systems and coefficients of the sixth order for the KE in 1d
JB Dizon, LO Wagner, JC Snyder, K Burke
The system can't perform the operation now. Try again later.
Articles 1–10