| Finding density functionals with machine learning JC Snyder, M Rupp, K Hansen, KR Müller, K Burke Physical review letters 108 (25), 253002, 2012 | 668 | 2012 |
| 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 | 204 | 2016 |
| 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), 2013 | 141 | 2013 |
| 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 | 123 | 2015 |
| 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), 2010 | 54 | 2010 |
| 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 | 36 | 2015 |
| 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 | 25 | 2018 |
| Kernels, pre-images and optimization JC Snyder, S Mika, K Burke, KR Müller Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik, 245-259, 2013 | 15 | 2013 |
| Disruption of NREM sleep and sleep-related spatial memory consolidation in mice lacking adult hippocampal neurogenesis D Sippel, J Schwabedal, JC Snyder, CN Oyanedel, SN Bernas, A Garthe, ... Scientific reports 10 (1), 16467, 2020 | 8 | 2020 |
| 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 | 1 | 2012 |
| Ionization Potentials in the Limit of Large Atomic Number JC Snyder University of California, Irvine, 2014 | | 2014 |
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail verificata su tu-berlin.de