| Efficient computation of Sobol'indices for stochastic models JL Hart, A Alexanderian, PA Gremaud SIAM Journal on Scientific Computing 39 (4), A1514-A1530, 2017 | 49 | 2017 |
| An approximation theoretic perspective of Sobol'indices with dependent variables J Hart, PA Gremaud International Journal for Uncertainty Quantification 8 (6), 2018 | 35 | 2018 |
| Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations I Sunseri, J Hart, B van Bloemen Waanders, A Alexanderian Inverse Problems 36 (12), 125001, 2020 | 27 | 2020 |
| Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis AK Saibaba, J Hart, B van Bloemen Waanders Numerical linear algebra with applications 28 (4), e2364, 2021 | 25 | 2021 |
| Hyperdifferential sensitivity analysis of uncertain parameters in PDE-constrained optimization J Hart, B van Bloemen Waanders, R Herzog International Journal for Uncertainty Quantification 10 (3), 2020 | 23 | 2020 |
| Robustness of the Sobol'indices to distributional uncertainty J Hart, PA Gremaud International Journal for Uncertainty Quantification 9 (5), 2019 | 20 | 2019 |
| Train like a (var) pro: Efficient training of neural networks with variable projection E Newman, L Ruthotto, J Hart, B van Bloemen Waanders SIAM Journal on Mathematics of Data Science 3 (4), 1041-1066, 2021 | 19 | 2021 |
| Global sensitivity analysis of high-dimensional neuroscience models: An example of neurovascular coupling JL Hart, PA Gremaud, T David Bulletin of mathematical biology 81 (6), 1805-1828, 2019 | 13 | 2019 |
| Desensitized trajectory optimization for hypersonic vehicles VR Makkapati, J Ridderhof, P Tsiotras, J Hart, B van Bloemen Waanders 2021 IEEE Aerospace Conference (50100), 1-10, 2021 | 12 | 2021 |
| Robustness of the Sobol'indices to marginal distribution uncertainty JL Hart, PA Gremaud SIAM/ASA Journal on Uncertainty Quantification 7 (4), 1224-1244, 2019 | 12 | 2019 |
| Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems I Sunseri, A Alexanderian, J Hart, B van Bloemen Waanders International Journal for Uncertainty Quantification 14 (2), 2024 | 6 | 2024 |
| Sensitivity-driven experimental design to facilitate control of dynamical systems J Hart, B van Bloemen Waanders, L Hood, J Parish Journal of Optimization Theory and Applications 196 (3), 855-881, 2023 | 6 | 2023 |
| Global sensitivity analysis for statistical model parameters JL Hart, J Bessac, EM Constantinescu SIAM/ASA Journal on Uncertainty Quantification 7 (1), 67-92, 2019 | 6 | 2019 |
| Enabling hyper-differential sensitivity analysis for ill-posed inverse problems J Hart, B van Bloemen Waanders SIAM Journal on Scientific Computing 45 (4), A1947-A1970, 2023 | 5 | 2023 |
| Transcranial doppler-based surrogates for cerebral blood flow: A statistical study J Hart, V Novak, C Saunders, PA Gremaud PLoS One 11 (11), e0165536, 2016 | 4 | 2016 |
| Efficient training of neural networks via variable projection E Newman, J Hart, B van Bloemen Waanders, L Ruthotto XXI Householder Symposium on Numerical Linear Algebra, 295, 2020 | 3 | 2020 |
| Hyper-differential sensitivity analysis with respect to model discrepancy: Optimal solution updating J Hart, B van Bloemen Waanders Computer Methods in Applied Mechanics and Engineering 412, 116082, 2023 | 2 | 2023 |
| Hyper-differential sensitivity analysis in the context of Bayesian inference applied to ice-sheet problems W Reese, J Hart, B van Bloemen Waanders, M Perego, J Jakeman, ... International Journal for Uncertainty Quantification, 2022 | 2 | 2022 |
| Hyper-differential sensitivity analysis with respect to model discrepancy: Calibration and optimal solution updating J Hart, B van Bloemen Waanders arXiv e-prints, arXiv: 2210.09044, 2022 | 2 | 2022 |
| Classification of orthostatic intolerance through data analytics S Gilmore, J Hart, J Geddes, CH Olsen, J Mehlsen, P Gremaud, ... Medical & Biological Engineering & Computing 59, 621-632, 2021 | 2 | 2021 |
