Joseph Hart

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All published works
Action Title Year Authors
+ PDF Chat Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification 2024 Joseph Hart
Indu Manickam
Mamikon Gulian
Laura Swiler
Diana Bull
Thomas Ehrmann
Hunter Brown
Benjamin Wagman
J.G. Watkins
+ PDF Chat Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior Optimal Solution Sampling 2024 Joseph Hart
Bart van Bloemen Waanders
+ Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior optimal solution sampling 2024 Joseph Hart
Bart van Bloemen Waanders
+ PDF Chat HYPERDIFFERENTIAL SENSITIVITY ANALYSIS IN THE CONTEXT OF BAYESIAN INFERENCE APPLIED TO ICE-SHEET PROBLEMS 2023 William D. Reese
Joseph Hart
Bart van Bloemen Waanders
Mauro Perego
John Jakeman
Arvind K. Saibaba
+ PDF Chat HYPER-DIFFERENTIAL SENSITIVITY ANALYSIS FOR NONLINEAR BAYESIAN INVERSE PROBLEMS 2023 Isaac Sunseri
Alen Alexanderian
Joseph Hart
Bart van Bloemen Waanders
+ PDF Chat Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems 2023 Joseph Hart
Bart van Bloemen Waanders
+ PDF Chat Hyper-differential sensitivity analysis with respect to model discrepancy: Optimal solution updating 2023 Joseph Hart
Bart van Bloemen Waanders
+ Solving inverse problems via neural network flow map approximation 2023 Joseph Hart
Mamikon Gulian
Indu Manickam
Laura Swiler
+ PDF Chat Sensitivity-Driven Experimental Design to Facilitate Control of Dynamical Systems 2023 Joseph Hart
Bart van Bloemen Waanders
Lisa Hood
Julie Parish
+ Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data 2023 Joseph Hart
Mamikon Gulian
Indu Manickam
Laura Swiler
+ PDF Chat SOLVING HIGH-DIMENSIONAL INVERSE PROBLEMS WITH AUXILIARY UNCERTAINTY VIA OPERATOR LEARNING WITH LIMITED DATA 2023 Joseph Hart
Mamikon Gulian
Indu Manickam
Laura Swiler
+ PDF Chat A new perspective on parameter study of optimization problems 2022 Alen Alexanderian
Joseph Hart
Mason Stevens
+ Hyper-differential sensitivity analysis for nonlinear Bayesian inverse problems 2022 Isaac Sunseri
Alen Alexanderian
Joseph Hart
Bart van Bloemen Waanders
+ Sensitivity driven experimental design to facilitate control of dynamical systems 2022 Joseph Hart
Bart van Bloemen Waanders
Lisa Hood
Julie Parish
+ A new perspective on parameter study of optimization problems 2022 Alen Alexanderian
Joseph Hart
Mason Stevens
+ Hyper-differential sensitivity analysis with respect to model discrepancy: Mathematics and computation 2022 Joseph Hart
Bart van Bloemen Waanders
+ Hyper-differential sensitivity analysis with respect to model discrepancy: Optimal solution updating 2022 Joseph Hart
Bart van Bloemen Waanders
+ Hyper-differential sensitivity analysis in the context of Bayesian inference applied to ice-sheet problems 2022 William D. Reese
Joseph Hart
Bart van Bloemen Waanders
Mauro Perego
John Jakeman
Arvind K. Saibaba
+ Hyper-Differential Sensitivity Analysis of Inverse Problems Governed by PDEs. 2021 Isaac Sunseri
Joseph Hart
Alen Alexanderian
Bart van Bloemen Waanders
+ Hyper-differential sensitivity analysis in PDE-constrained inverse problems. 2021 Joseph Hart
+ Hyper-differential sensitivity analysis for model form error. 2021 Joseph Hart
Bart van Bloemen Waanders
+ PDF Chat Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis 2021 Arvind K. Saibaba
Joseph Hart
Bart van Bloemen Waanders
+ Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection 2021 Elizabeth Newman
Lars Ruthotto
Joseph Hart
Bart van Bloemen Waanders
+ Enabling hyper-differential sensitivity analysis for ill-posed inverse problems 2021 Joseph Hart
Bart van Bloemen Waanders
+ PDF Chat Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations 2020 Isaac Sunseri
Joseph Hart
Bart van Bloemen Waanders
Alen Alexanderian
+ Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection 2020 Elizabeth Newman
Lars Ruthotto
Joseph Hart
Bart van Bloemen Waanders
+ Randomized Algorithms for Generalized Singular Value Decomposition with Application to Sensitivity Analysis 2020 Arvind K. Saibaba
Joseph Hart
Bart van Bloemen Waanders
+ HYPERDIFFERENTIAL SENSITIVITY ANALYSIS OF UNCERTAIN PARAMETERS IN PDE-CONSTRAINED OPTIMIZATION 2020 Joseph Hart
Bart van Bloemen Waanders
Roland Herzog
+ Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection 2020 Elizabeth Newman
Lars Ruthotto
Joseph Hart
Bart van Bloemen Waanders
+ Randomized Algorithms for Generalized Singular Value Decomposition with Application to Sensitivity Analysis 2020 Arvind K. Saibaba
Joseph Hart
Bart van Bloemen Waanders
+ Hyper-Differential Sensitivity Analysis to Support Geophysical Inverse Problems 2019 Joseph Hart
B. VanBloemenWaanders
+ Hyper-Differential Sensitivity Analysis to Support Geophysical Inverse Problems. 2019 Joseph Hart
+ Hyper-Differential Sensitivity Analysis of Uncertain Parameters in PDE-Constrained Optimization 2019 Joseph Hart
Bart van Bloemen Waanders
Roland Herzog
+ PDF Chat Global Sensitivity Analysis of High-Dimensional Neuroscience Models: An Example of Neurovascular Coupling 2019 Joseph Hart
Pierre A. Gremaud
Tom David
+ Global Sensitivity Analysis for PDE-constrained Optimization. 2019 Joseph Hart
Bart G. van Bloemen Waanders
+ Global Sensitivity Analysis for Statistical Model Parameters 2019 Joseph Hart
Julie Bessac
Emil M. Constantinescu
+ ROBUSTNESS OF THE SOBOL' INDICES TO DISTRIBUTIONAL UNCERTAINTY 2019 Joseph Hart
Pierre A. Gremaud
+ PDF Chat Robustness of the Sobol' Indices to Marginal Distribution Uncertainty 2019 Joseph Hart
Pierre A. Gremaud
+ Hyper-Differential Sensitivity Analysis of Uncertain Parameters in PDE-Constrained Optimization 2019 Joseph Hart
Bart van Bloemen Waanders
Roland W. Herzog
+ Robustness of the Sobol' indices to marginal distribution uncertainty 2018 Joseph Hart
Pierre A. Gremaud
+ Robustness of the Sobol' indices to distributional uncertainty 2018 Joseph Hart
Pierre A. Gremaud
+ Global Sensitivity Analysis of High Dimensional Neuroscience Models: An Example of Neurovascular Coupling 2018 Joseph Hart
Pierre A. Gremaud
T. David
+ PDF Chat AN APPROXIMATION THEORETIC PERSPECTIVE OF SOBOL' INDICES WITH DEPENDENT VARIABLES 2018 Joseph Hart
Pierre A. Gremaud
+ Robustness of the Sobol' indices to marginal distribution uncertainty 2018 Joseph Hart
Pierre A. Gremaud
+ Robustness of the Sobol' indices to distributional uncertainty 2018 Joseph Hart
Pierre A. Gremaud
+ An approximation theoretic perspective of the Sobol' indices with dependent variables 2018 Joseph Hart
Pierre A. Gremaud
+ Sobol' indices for correlated variables 2017 Joseph Hart
Pierre A. Gremaud
+ An approximation theoretic perspective of the Sobol' indices with dependent variables. 2017 Joseph Hart
Pierre A. Gremaud
+ Global sensitivity analysis for statistical model parameters 2017 Joseph Hart
Julie Bessac
Emil M. Constantinescu
+ PDF Chat Efficient Computation of Sobol' Indices for Stochastic Models 2017 Joseph Hart
Alen Alexanderian
Pierre A. Gremaud
+ Global sensitivity analysis for statistical model parameters 2017 Joseph Hart
Julie Bessac
Emil M. Constantinescu
+ Efficient computation of Sobol' indices for stochastic models 2016 Joseph Hart
Alen Alexanderian
Pierre A. Gremaud
+ Classification of syncope through data analytics 2016 Joseph Hart
Jesper Mehlsen
Christian Haargaard Olsen
Mette Sofie Olufsen
Pierre A. Gremaud
+ Efficient computation of Sobol' indices for stochastic models 2016 Joseph Hart
Alen Alexanderian
Pierre A. Gremaud
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ HYPERDIFFERENTIAL SENSITIVITY ANALYSIS OF UNCERTAIN PARAMETERS IN PDE-CONSTRAINED OPTIMIZATION 2020 Joseph Hart
Bart van Bloemen Waanders
Roland Herzog
9
+ Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates 2001 I. M. Sobol
9
+ PDF Chat Inverse problems: A Bayesian perspective 2010 Andrew M. Stuart
7
+ PDF Chat Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations 2020 Isaac Sunseri
Joseph Hart
Bart van Bloemen Waanders
Alen Alexanderian
7
+ Parametric Sensitivity Analysis in Optimal Control of a Reaction Diffusion System. I. Solution Differentiability 2004 Roland Griesse
7
+ Computational Methods for Inverse Problems 2002 Curtis R. Vogel
6
+ A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices 2010 I. M. Sobol
Sergei Kucherenko
6
+ PDF Chat A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems 2014 Noémi Petra
James L. Martin
Georg Stadler
Omar Ghattas
6
+ PDF Chat A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion 2013 Tan Bui‐Thanh
Omar Ghattas
James L. Martin
Georg Stadler
6
+ PDF Chat Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis 2021 Arvind K. Saibaba
Joseph Hart
Bart van Bloemen Waanders
6
+ Parametric sensitivity analysis in optimal control of a reaction-diffusion system – part II: practical methods and examples 2004 Roland Griesse
6
+ PDF Chat AN APPROXIMATION THEORETIC PERSPECTIVE OF SOBOL' INDICES WITH DEPENDENT VARIABLES 2018 Joseph Hart
Pierre A. Gremaud
5
+ Preconditioned all-at-once methods for large, sparse parameter estimation problems 2001 Eldad Haber
Uri M. Ascher
5
+ Parallel Lagrange--Newton--Krylov--Schur Methods for PDE-Constrained Optimization. Part I: The Krylov--Schur Solver 2005 George Biros
Omar Ghattas
5
+ PDF Chat On Shapley Value for Measuring Importance of Dependent Inputs 2017 Art B. Owen
Clémentine Prieur
5
+ PDF Chat Optimization Problems with Perturbations: A Guided Tour 1998 J. Frédéric Bonnans
Alexander Shapiro
5
+ PDF Chat Space Mapping for Optimal Control of Partial Differential Equations 2005 Michael Hintermüller
L. N. Vicente
5
+ Grid refinement and scaling for distributed parameter estimation problems 2001 Uri M. Ascher
Eldad Haber
5
+ PDF Chat Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion 2015 Arvind K. Saibaba
Jonghyun Lee
Peter K. Kitanidis
5
+ Sobol' Indices and Shapley Value 2014 Art B. Owen
5
+ Sparse Matrix Computations Arising in Distributed Parameter Identification 1999 Curtis R. Vogel
5
+ PDF Chat Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions 2011 Nathan Halko
Per‐Gunnar Martinsson
Joel A. Tropp
4
+ PDF Chat Global sensitivity analysis of stochastic computer models with joint metamodels 2011 Amandine Marrel
Bertrand Iooss
Sébastien da Veiga
Mathieu Ribatet
4
+ Moment Independent Importance Measures: New Results and Analytical Test Cases 2010 Emanuele Borgonovo
William Castaings
Stefano Tarantola
4
+ Real-Time PDE-Constrained Optimization 2007 Lorenz T. Biegler
Omar Ghattas
Matthias Heinkenschloss
David E. Keyes
Bart van Bloemen Waanders
4
+ PDF Chat Generalized Sobol sensitivity indices for dependent variables: numerical methods 2014 Gaëlle Chastaing
Fabrice Gamboa
Clémentine Prieur
4
+ PDF Chat Optimal Experimental Design for the Large‐Scale Nonlinear Ill‐Posed Problem of Impedance Imaging 2010 Lior Horesh
Eldad Haber
Luis Tenorio
3
+ Inverse Problem Theory and Methods for Model Parameter Estimation 2005 Albert Tarantola
3
+ PDF Chat Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests 2013 Matieyendou Lamboni
Bertrand Iooss
Anne-Laure Popelin
Fabrice Gamboa
3
+ Parametric Sensitivity Analysis of Perturbed PDE Optimal Control Problems with State and Control Constraints 2006 Christof Büskens
Roland Griesse
3
+ PDF Chat Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet 2015 Tobin Isaac
Noémi Petra
Georg Stadler
Omar Ghattas
3
+ PDF Chat Efficient Computation of Sobol' Indices for Stochastic Models 2017 Joseph Hart
Alen Alexanderian
Pierre A. Gremaud
3
+ Parametric sensitivities for optimal control problems using automatic differentiation 2003 Roland Griesse
Andrea Walther
3
+ PDF Chat Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments 2018 Emanuele Borgonovo
Max D. Morris
Elmar Plischke
3
+ PDF Chat Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems 2023 Joseph Hart
Bart van Bloemen Waanders
3
+ PDF Chat Numerical Sensitivity Analysis for the Quantity of Interest in PDE‐Constrained Optimization 2007 Roland Griesse
Boris Vexler
3
+ Statistical and Computational Inverse Problems 2005 Jari P. Kaipio
Erkki Somersalo
3
+ Poincaré inequalities on intervals – application to sensitivity analysis 2017 Olivier Roustant
Franck Barthe
Bertrand Iooss
3
+ Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications 2008 Alexandra M. Schmidt
Ma. de Fátima da G. Conceição
Guido A. Moreira
2
+ Robust Stochastic Approximation Approach to Stochastic Programming 2009 Arkadi Nemirovski
Anatoli Juditsky
Guanghui Lan
Alexander Shapiro
2
+ The Elements of Statistical Learning 2001 Trevor Hastie
J. Friedman
Robert Tibshirani
2
+ Numerical methods for experimental design of large-scale linear ill-posed inverse problems 2008 Eldad Haber
Lior Horesh
Luis Tenorio
2
+ Iterative Methods for Optimization 1999 C. T. Kelley
2
+ A trust-region framework for managing the use of approximation models in optimization 1998 Natalia Alexandrov
J. E. Dennis
Robert Michael Lewis
Virginia Torczon
2
+ Mechanisms of noise-resistance in genetic oscillators 2002 José M. G. Vilar
Hao Yuan Kueh
Naama Barkai
Stanislas Leibler
2
+ Derivative based global sensitivity measures and their link with global sensitivity indices 2009 I. M. Sobol
Sergei Kucherenko
2
+ An implicit shift bidiagonalization algorithm for ill-posed systems 1994 Åke Björck
E. Grimme
Paul Van Dooren
2
+ Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review 1996 Mary Kathryn Cowles
Bradley P. Carlin
2
+ Principal Angles between Subspaces in an <i>A</i>-Based Scalar Product: Algorithms and Perturbation Estimates 2002 Andrew Knyazev
Merico E. Argentati
2
+ Generalized Functional ANOVA Diagnostics for High-Dimensional Functions of Dependent Variables 2007 Giles Hooker
2