Joseph L. Hart

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Preconditioned pseudo-time continuation for parameterized inverse problems.
CoRR
Joseph L. Hart, Alen Alexanderian, Bart G. van Bloemen Waanders
2025 J jnl
Quantifying model prediction sensitivity to model-form uncertainty.
CoRR
Teresa Portone, Rebekah D. White, Joseph L. Hart
2024 J jnl
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification.
CoRR
Joseph L. Hart, Indu Manickam, Mamikon A. Gulian, Laura P. Swiler, Diana Bull, T. Ehrmann, H. Brown, B. Wagman, Jerry Watkins
2023 J jnl
A new perspective on parameter study of optimization problems.
Appl. Math. Lett.
Alen Alexanderian, Joseph L. Hart, Mason Stevens
2023 J jnl
Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems.
SIAM J. Sci. Comput.
Joseph L. Hart, Bart G. van Bloemen Waanders
2023 J jnl
Sensitivity-Driven Experimental Design to Facilitate Control of Dynamical Systems.
J. Optim. Theory Appl.
Joseph L. Hart, Bart G. van Bloemen Waanders, Lisa Hood, Julie Parish
2023 J jnl
Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data.
CoRR
Joseph L. Hart, Mamikon A. Gulian, Indu Manickam, Laura P. Swiler
2022 J jnl
A new perspective on parameter study of optimization problems.
CoRR
Alen Alexanderian, Joseph L. Hart, Mason Stevens
2022 J jnl
Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems.
CoRR
Isaac Sunseri, Alen Alexanderian, Joseph L. Hart, Bart G. van Bloemen Waanders
2022 J jnl
Hyper-differential sensitivity analysis with respect to model discrepancy: Calibration and optimal solution updating.
CoRR
Joseph L. Hart, Bart G. van Bloemen Waanders
2022 J jnl
Hyper-differential sensitivity analysis with respect to model discrepancy: mathematics and computation.
CoRR
Joseph L. Hart, Bart G. van Bloemen Waanders
2021 J jnl
Classification of orthostatic intolerance through data analytics.
Medical Biol. Eng. Comput.
Steven Gilmore, Joseph L. Hart, Justen Geddes, Christian Haargaard Olsen, Jesper Mehlsen, Pierre-Alain Gremaud, Mette S. Olufsen
2021 J jnl
Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems.
CoRR
Joseph L. Hart, Bart G. van Bloemen Waanders
2021 J jnl
Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis.
Numer. Linear Algebra Appl.
Arvind K. Saibaba, Joseph L. Hart, Bart G. van Bloemen Waanders
2021 J jnl
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection.
SIAM J. Math. Data Sci.
Elizabeth Newman, Lars Ruthotto, Joseph L. Hart, Bart G. van Bloemen Waanders
2020 J jnl
Randomized Algorithms for Generalized Singular Value Decomposition with Application to Sensitivity Analysis.
CoRR
Arvind K. Saibaba, Joseph L. Hart, Bart G. van Bloemen Waanders
2020 J jnl
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection.
CoRR
Elizabeth Newman, Lars Ruthotto, Joseph L. Hart, Bart G. van Bloemen Waanders
2019 J jnl
Global Sensitivity Analysis for Statistical Model Parameters.
SIAM/ASA J. Uncertain. Quantification
Joseph L. Hart, Julie Bessac, Emil M. Constantinescu
2019 J jnl
Robustness of the Sobol' Indices to Marginal Distribution Uncertainty.
SIAM/ASA J. Uncertain. Quantification
Joseph L. Hart, Pierre-Alain Gremaud
2017 J jnl
Efficient Computation of Sobol' Indices for Stochastic Models.
SIAM J. Sci. Comput.
Joseph L. Hart, Alen Alexanderian, Pierre-Alain Gremaud