| MAXIMA-1: a measurement of the cosmic microwave background anisotropy on angular scales of 10'-5 S Hanany, P Ade, A Balbi, J Bock, J Borrill, A Boscaleri, P De Bernardis, ... The Astrophysical Journal 545 (1), L5, 2000 | 1993 | 2000 |
| Cosmology from MAXIMA-1, BOOMERANG, and COBE DMR cosmic microwave background observations AH Jaffe, PAR Ade, A Balbi, JJ Bock, JR Bond, J Borrill, A Boscaleri, ... Physical Review Letters 86 (16), 3475, 2001 | 826 | 2001 |
| Copy number variants in schizophrenia: confirmation of five previous findings and new evidence for 3q29 microdeletions and VIPR2 duplications DF Levinson, J Duan, S Oh, K Wang, AR Sanders, J Shi, N Zhang, ... American Journal of Psychiatry 168 (3), 302-316, 2011 | 487 | 2011 |
| A convex pseudolikelihood framework for high dimensional partial correlation estimation with convergence guarantees K Khare, SY Oh, B Rajaratnam Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2015 | 145 | 2015 |
| Making maps of the cosmic microwave background: The MAXIMA example R Stompor, A Balbi, JD Borrill, PG Ferreira, S Hanany, AH Jaffe, AT Lee, ... Physical Review D 65 (2), 022003, 2001 | 109 | 2001 |
| Genome-wide association study of multiplex schizophrenia pedigrees DF Levinson, J Shi, K Wang, S Oh, B Riley, AE Pulver, DB Wildenauer, ... American Journal of Psychiatry 169 (9), 963-973, 2012 | 78 | 2012 |
| Communication-avoiding parallel sparse-dense matrix-matrix multiplication P Koanantakool, A Azad, A Buluç, D Morozov, SY Oh, L Oliker, K Yelick 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 67 | 2016 |
| Revealing fundamental physics from the Daya Bay Neutrino Experiment using deep neural networks E Racah, S Ko, P Sadowski, W Bhimji, C Tull, SY Oh, P Baldi 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 40 | 2016 |
| Partial separability and functional graphical models for multivariate Gaussian processes J Zapata, SY Oh, A Petersen Biometrika 109 (3), 665-681, 2022 | 39 | 2022 |
| Asymmetric beams in cosmic microwave background anisotropy experiments JHP Wu, A Balbi, J Borrill, PG Ferreira, S Hanany, AH Jaffe, AT Lee, S Oh, ... The Astrophysical Journal Supplement Series 132 (1), 1, 2001 | 32 | 2001 |
| Optimization methods for sparse pseudo-likelihood graphical model selection S Oh, O Dalal, K Khare, B Rajaratnam Advances in Neural Information Processing Systems 27, 667-675, 2014 | 31 | 2014 |
| A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data K Khare, SY Oh, S Rahman, B Rajaratnam Machine Learning 108, 2061-2086, 2019 | 18 | 2019 |
| Generalized pseudolikelihood methods for inverse covariance estimation A Ali, K Khare, SY Oh, B Rajaratnam Artificial Intelligence and Statistics, 280-288, 2017 | 18 | 2017 |
| Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation P Koanantakool, A Ali, A Azad, A Buluc, D Morozov, L Oliker, K Yelick, ... International Conference on Artificial Intelligence and Statistics, 1376-1386, 2018 | 17 | 2018 |
| Distributionally Robust Formulation and Model Selection for the Graphical Lasso P Cisneros, A Petersen, SY Oh International Conference on Artificial Intelligence and Statistics, 756-765, 2020 | 16 | 2020 |
| Methods, systems, and apparatus to design online advertising units via a web-based application PHI Kim, H Lee, J Park, SY Oh US Patent 9,202,231, 2015 | 15 | 2015 |
| Improved quantitation of dynamic SPECT via fully 4-D joint estimation of compartmental models and blood input function directly from projections BW Reutter, S Oh, GT Gullberg, RH Huesman IEEE Nuclear Science Symposium Conference Record, 2005 4, 2337-2341, 2005 | 15 | 2005 |
| Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization C Tran, P Cisneros‐Velarde, SY Oh, A Petersen Stat 11 (1), e477, 2022 | 1 | 2022 |
| FROSTY: A High-Dimensional Scale-Free Bayesian Network Learning Method. J Bang, SY Oh Journal of Data Science 21 (2), 2023 | | 2023 |
| Exploring Raw HEP Data using Deep Neural Networks at NERSC W Bhimji, E Racah, S Ko, P Sadowski, C Tull, SY Oh, M Prabhat Proceedings of the 38th International Conference on High Energy Physics …, 2016 | | 2016 |
Bala RajaratnamUniversity of California, DavisDirección de correo verificada de ucdavis.edu
