J. Müller, J. Park, R. Sahu, C. Varadharajan, B. Arora, B. Faybishenko, D. Agarwal, "Surrogate optimization of deep neural networks for groundwater predictions", 2021, Journal of Global Optimization
V. Dumont, C. Garner, A. Trivedi, C. Jones, V. Ganapati, J. Mueller, T. Perciano, M. Kiran, M. Day, "HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization", 2021, 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)
A. Austin, M. Krishnamoorthy, S. Leyffer, S. Mrenna, J. Müller, H. Schulz, "Practical algorithms for multivariate rational approximation", 2021, Computer Physics Communications
W. Wang, M. Krishnamoorthy, J. Müller, S. Mrenna, H. Schulz, X. Ju, S. Leyffer, Z. Marshall, BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators, 2021, SciPost Physics
J. Müller, B. Faybishenko, D. Agarwal, S. Bailey, C. Jiang, Y. Ryu, C. Tull, L. Ramakrishna, "Assessing data change in scientific datasets", 2021, Concurrency and Computation: Practice and Experience
T. Takhtaganov, Z. Lukic, J. Mueller, D. Morozov. "Cosmic Inference: Constraining Parameters With Observations and Highly Limited Number of Simulations", 2021, The Astrophysical Journal
R. Sahu, J. Müller, J. Park, C. Varadharajan, B. Arora, B. Faybishenko, D. Agarwal, Impact of Input Feature Selection on Groundwater Level Prediction From a Multi-Layer Perceptron Neural Network, 2020, Frontiers in Water
W. Lavrijsen, A. Tudor, J. Müller, C. Iancu, W. de Jong. "Classical optimizers for noisy intermediate-scale quantum devices", 2020, 2020 IEEE International Conference on Quantum Computing and Engineering (QCE)
W. Lavrijsen, M. Urbanek, M. Metcalf, J. Müller, B. Nachman, D. Chamaki, C. Iancu, W. De Jong. "Optimizer-aware Circuit Design for Error Unfolding in Variational Quantum Eigensolver", 2020, Bulletin of the American Physical Society
W. Langhans, J. Mueller, W. Collins. "Optimization of the Eddy‐Diffusivity/Mass‐Flux shallow cumulus and boundary‐layer parameterization using surrogate models", 2019, Journal of Advances in Modeling Earth Systems
J. Mueller. "An Algorithmic Framework for the Optimization of Computationally Expensive Bi-Fidelity Black-Box Problems", 2019, INFOR: Information Systems and Operational Research
W. Lavrijsen, A. Tudor, J. Larson, K. Sung, L. Linder, J. Mueller, J. McClean, R. Babbush, M. Urbanek, C. Iancu, W. De Jong, "SKQuant-Opt: Optimizers for Noisy Intermediate-Scale Quantum Devices", 2019, APS March Meeting
J Mueller, M Day. "Surrogate optimization of computationally expensive black-box problems with hidden constraints", 2018, INFORMS Journal on Computing
T Takhtaganov, J Mueller. "Adaptive Gaussian process surrogates for Bayesian inference", preprint
O Karslıoğlu, M Gehlmann, , J Mueller, S Nemšák, J Sethian, A Kaduwela, H Bluhm, C Fadley. "An Efficient Algorithm for Automatic Structure Optimization in X-ray Standing-Wave Experiments", 2018, Journal of Electron Spectroscopy and Related Phenomena
G Conti, S Nemšák, C-T Kuo, M Gehlmann, C Conlon, A Keqi, A Rattanachata, O Karslıoğlu, J Mueller, J Sethian, H Bluhm, JE Rault, JP Rueff, H Fang, A Javey, CS Fadley. "Characterization of free standing InAs quantum membranes by standing wave hard x-ray photoemission spectroscopy", 2018, APL Materials
E. Lohrmann, Z. Lukić, D. Morozov, J. Mueller. "Programmable In Situ System for Iterative Workflows", 2017, Job Scheduling Strategies for Parallel Processing
J. Mueller and J. Woodbury. "GOSAC: Global Optimization with Surrogate Approximation of Constraints", 2017, Journal of Global Optimization
J. Mueller. "SOCEMO: Surrogate Optimization of Computationally Expensive Multi-Objective Problems", 2017, INFORMS Journal on Computing
J. Mueller. "MISO: Mixed-Integer Surrogate Optimization Framework", 2016, Springer Optimization and Engineering, 17 (1):177-203
J. Mueller, R. Paudel, C.A. Shoemaker, J. Woodbury, Y. Wang, and N. Mahowald. "CH4 Parameter Estimation in CLM4.5bgc Using Surrogate Global Optimization", 2015, Geoscientific Model Development, 8 (10): 3285-3310
J. Mueller, T. Krityakierne, and C.A. Shoemaker. "SO-MODS: Optimization for High Dimensional Computationally Expensive Multi-Modal Functions with Surrogate Search", 2014 IEEE Congress on Evolutionary Computation (CEC), July 6-11, 2014, Beijing, China, pages 1092-1099
J. Mueller and C.A. Shoemaker. "Influence of Ensemble Surrogate Models and Sampling Strategy on the Solution Quality of Algorithms for Computationally Expensive Black-Box Global Optimization Problems", 2014, Journal of Global Optimization, 60 (2):123-144
J. Mueller, C.A. Shoemaker, and R. Piche. "SO-I: A Surrogate Model Algorithm for Expensive Nonlinear Integer Programming Problems Including Global Optimization Applications", 2013, Journal of Global Optimization, 59 (4): 865-889
J. Mueller, J. Kanniainen, and R. Piche. "Calibration of GARCH (generalized autoregressive conditional heteroskedasticity) Models Using Concurrent Accelerated Random Search", 2013, Applied Mathematics and Computation, 221: 522-534
J. Mueller, C.A. Shoemaker, and R. Piche. "SO-MI: A Surrogate Model Algorithm for Computationally Expensive Nonlinear Mixed-Integer Black-Box Global Optimization Problems", 2013, Computers and Operations Research, 40 (5): 1383-1400
J. Mueller and R. Piche. "Mixture Surrogate Models Based on Dempster-Shafer Theory for Global Optimization Problems", 2011, Journal of Global Optimization, 51 (1): 79-104
J. Mueller. "Approximative Solutions to the Bicriterion Vehicle Routing Problem with Time Windows", 2010, European Journal of Operational Research, 202 (1): 223-231