| Benchmarking derivative-free optimization algorithms JJ Moré, SM Wild SIAM Journal on Optimization 20 (1), 172-191, 2009 | 773 | 2009 |
| Nuclear energy density optimization M Kortelainen, T Lesinski, J Moré, W Nazarewicz, J Sarich, N Schunck, ... Physical Review C—Nuclear Physics 82 (2), 024313, 2010 | 675 | 2010 |
| Nuclear energy density optimization: Large deformations M Kortelainen, J McDonnell, W Nazarewicz, PG Reinhard, J Sarich, ... Physical Review C 85 (2), 024304, 2012 | 513 | 2012 |
| Derivative-free optimization methods J Larson, M Menickelly, SM Wild Acta Numerica 28, 287-404, 2019 | 508 | 2019 |
| Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Order A Ekström, G Baardsen, C Forssén, G Hagen, M Hjorth-Jensen, ... Physical Review Letters 110 (19), 192502, 2013 | 392 | 2013 |
| Maximizing influence in a competitive social network: a follower's perspective T Carnes, C Nagarajan, SM Wild, A Van Zuylen Proceedings of the Ninth International Conference on Electronic Commerce …, 2007 | 364 | 2007 |
| ORBIT: Optimization by radial basis function interpolation in trust-regions SM Wild, RG Regis, CA Shoemaker SIAM Journal on Scientific Computing 30 (6), 3197-3219, 2008 | 324 | 2008 |
| Improving non-negative matrix factorizations through structured initialization S Wild, J Curry, A Dougherty Pattern Recognition 37 (11), 2217-2232, 2004 | 264 | 2004 |
| Axially Deformed Solution of the Skyrme-Hartree-Fock-Bogolyubov Equations Using the Transformed Harmonic Oscillator Basis (II) HFBTHO v2.00d: A New Version of the Program. MV Stoitsov, N Schunck, M Kortelainen, N Michel, H Nam, E Olsen, ... Computer Physics Communications 184 (6), 1592-1604, 2013 | 248 | 2013 |
| Nuclear energy density optimization: Shell structure M Kortelainen, J McDonnell, W Nazarewicz, E Olsen, PG Reinhard, ... Physical Review C 89 (5), 054314, 2014 | 244 | 2014 |
| Modeling an augmented Lagrangian for blackbox constrained optimization RB Gramacy, GA Gray, S Le Digabel, HKH Lee, P Ranjan, G Wells, ... Technometrics 58 (1), 1-11, 2016 | 179 | 2016 |
| Deephyper: Asynchronous hyperparameter search for deep neural networks P Balaprakash, M Salim, TD Uram, V Vishwanath, SM Wild 2018 IEEE 25th international conference on high performance computing (HiPC …, 2018 | 174 | 2018 |
| Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements JD McDonnell, N Schunck, D Higdon, J Sarich, SM Wild, W Nazarewicz Physical Review Letters 114 (12), 122501, 2015 | 157 | 2015 |
| Workshop report on basic research needs for scientific machine learning: Core technologies for artificial intelligence N Baker, F Alexander, T Bremer, A Hagberg, Y Kevrekidis, H Najm, ... USDOE Office of Science (SC), Washington, DC (United States), 2019 | 155 | 2019 |
| Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation N Bliznyuk, D Ruppert, C Shoemaker, R Regis, S Wild, P Mugunthan Journal of Computational and Graphical Statistics 17 (2), 270-294, 2008 | 154 | 2008 |
| A Taxonomy of Constraints in Black-Box Simulation-Based Optimization SL Digabel, SM Wild arXiv preprint arXiv:1505.07881, 2017 | 145* | 2017 |
| Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian V Picheny, RB Gramacy, SM Wild, SL Digabel Proceedings of the 30th International Conference on Neural Information …, 2016 | 131 | 2016 |
| Applied Mathematics Research for Exascale Computing J Dongarra, J Hittinger, J Bell, L Chacon, R Falgout, M Heroux, P Hovland, ... U.S. Department of Energy, ASCR Report, 2014 | 120 | 2014 |
| TAO 3.6 users manual T Munson, J Sarich, S Wild, S Benson, LC McInnes Argonne National Laboratory, Mathematics and Computer Science Division, 2015 | 109* | 2015 |
| Seeding non-negative matrix factorizations with the spherical k-means clustering S Wild University of Colorado, 2003 | 106 | 2003 |
Witold NazarewiczProfessor of Physics, Michigan State University確認したメール アドレス: frib.msu.edu
