Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
Fuente:
arXiv
Saved in:
| Main Authors: | Alexanderian, Alen, Nicholson, Ruanui, Petra, Noemi |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust optimal design of large-scale Bayesian nonlinear inverse problems
by: Chowdhary, Abhijit, et al.
Published: (2024)
by: Chowdhary, Abhijit, et al.
Published: (2024)
Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations
by: Neuberger, J. Nicholas, et al.
Published: (2024)
by: Neuberger, J. Nicholas, et al.
Published: (2024)
Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems
by: Nicholson, Ruanui, et al.
Published: (2025)
by: Nicholson, Ruanui, et al.
Published: (2025)
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems
by: Chowdhary, Abhijit, et al.
Published: (2023)
by: Chowdhary, Abhijit, et al.
Published: (2023)
A control-oriented approach to optimal sensor placement
by: Madhavan, Madhusudan, et al.
Published: (2025)
by: Madhavan, Madhusudan, et al.
Published: (2025)
Bayesian D-Optimal Experimental Designs via Column Subset Selection
by: Eswar, Srinivas, et al.
Published: (2024)
by: Eswar, Srinivas, et al.
Published: (2024)
Multifidelity sensor placement in Bayesian state estimation problems
by: Ramon, Gabriela, et al.
Published: (2026)
by: Ramon, Gabriela, et al.
Published: (2026)
Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024)
by: Vanmechelen, Pieter, et al.
Published: (2024)
Towards optimal sensor placement for inverse problems in spaces of measures
by: Huynh, Phuoc-Truong, et al.
Published: (2023)
by: Huynh, Phuoc-Truong, et al.
Published: (2023)
A Bayesian approach to inverse problems in spaces of measures
by: Huynh, Phuoc-Truong
Published: (2025)
by: Huynh, Phuoc-Truong
Published: (2025)
A global optimum-informed greedy algorithm for A-optimal experimental design
by: Aarset, Christian
Published: (2024)
by: Aarset, Christian
Published: (2024)
Determination of a Small Elliptical Anomaly in Electrical Impedance Tomography using Minimal Measurements
by: Chen, Gaoming, et al.
Published: (2024)
by: Chen, Gaoming, et al.
Published: (2024)
Adaptive Gaussian Process Regression for Bayesian inverse problems
by: Villani, Paolo, et al.
Published: (2024)
by: Villani, Paolo, et al.
Published: (2024)
Bayesian parameter identification in impedance boundary conditions for Helmholtz problems
by: Wulbusch, Nick, et al.
Published: (2023)
by: Wulbusch, Nick, et al.
Published: (2023)
Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
by: Volkaerts, Maarten, et al.
Published: (2026)
by: Volkaerts, Maarten, et al.
Published: (2026)
Surrogate model for Bayesian optimal experimental design in chromatography
by: Rojo-Garcia, Jose Rodrigo, et al.
Published: (2024)
by: Rojo-Garcia, Jose Rodrigo, et al.
Published: (2024)
Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices
by: Taghizadeh, Leila, et al.
Published: (2024)
by: Taghizadeh, Leila, et al.
Published: (2024)
A Probabilistic Approach to Trajectory-Based Optimal Experimental Design
by: Attia, Ahmed
Published: (2026)
by: Attia, Ahmed
Published: (2026)
Posterior contraction rates of computational methods for Bayesian data assimilation
by: Burman, Erik, et al.
Published: (2025)
by: Burman, Erik, et al.
Published: (2025)
Submodularity of the expected information gain in infinite-dimensional linear inverse problems
by: Alexanderian, Alen, et al.
Published: (2026)
by: Alexanderian, Alen, et al.
Published: (2026)
Quasi-Monte Carlo and importance sampling methods for Bayesian inverse problems
by: He, Zhijian, et al.
Published: (2024)
by: He, Zhijian, et al.
Published: (2024)
Integral Transform Solution of Random Coupled Parabolic Partial Differential Models
by: Casabán, M. -C., et al.
Published: (2025)
by: Casabán, M. -C., et al.
Published: (2025)
A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws
by: Feng, Yu, et al.
Published: (2023)
by: Feng, Yu, et al.
Published: (2023)
Mean square error analysis of stochastic gradient and variance-reduced sampling algorithms
by: Lu, Jianfeng, et al.
Published: (2025)
by: Lu, Jianfeng, et al.
Published: (2025)
Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs
by: Kaarnioja, Vesa, et al.
Published: (2024)
by: Kaarnioja, Vesa, et al.
Published: (2024)
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
by: McQuarrie, Shane A., et al.
Published: (2024)
by: McQuarrie, Shane A., et al.
Published: (2024)
An energy-based deep splitting method for the nonlinear filtering problem
by: Bågmark, Kasper, et al.
Published: (2022)
by: Bågmark, Kasper, et al.
Published: (2022)
A Primer on the Karhunen-Loève Expansion
by: Alexanderian, Alen
Published: (2026)
by: Alexanderian, Alen
Published: (2026)
FEM-based A-optimal sensor placement for heat source inversion from final time measurement
by: Aarset, Christian, et al.
Published: (2025)
by: Aarset, Christian, et al.
Published: (2025)
Global optimality conditions for sensor placement, with extensions to binary low-rank A-optimal designs
by: Aarset, Christian
Published: (2024)
by: Aarset, Christian
Published: (2024)
A novel viewpoint for Bayesian inversion based on the Poisson point process
by: Deng, Zhiliang, et al.
Published: (2025)
by: Deng, Zhiliang, et al.
Published: (2025)
A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting
by: Bågmark, Kasper, et al.
Published: (2024)
by: Bågmark, Kasper, et al.
Published: (2024)
Posterior contraction under misspecification and heteroscedasticity in non-linear inverse problems
by: Seizilles, Fanny, et al.
Published: (2026)
by: Seizilles, Fanny, et al.
Published: (2026)
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations
by: Jia, Junxiong, et al.
Published: (2022)
by: Jia, Junxiong, et al.
Published: (2022)
High-dimensional Bayesian filtering through deep density approximation
by: Bågmark, Kasper, et al.
Published: (2025)
by: Bågmark, Kasper, et al.
Published: (2025)
Uniform error bounds of the ensemble transform Kalman filter for infinite-dimensional dynamics with multiplicative covariance inflation
by: Takeda, Kota, et al.
Published: (2024)
by: Takeda, Kota, et al.
Published: (2024)
FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
by: Madhavan, Madhusudan, et al.
Published: (2026)
by: Madhavan, Madhusudan, et al.
Published: (2026)
Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems
by: Wang, Yueyang, et al.
Published: (2026)
by: Wang, Yueyang, et al.
Published: (2026)
Enhanced uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems
by: Tonini, Andrea, et al.
Published: (2025)
by: Tonini, Andrea, et al.
Published: (2025)
Surrogate-based multilevel Monte Carlo methods for uncertainty quantification in the Grad-Shafranov free boundary problem
by: Elman, Howard, et al.
Published: (2025)
by: Elman, Howard, et al.
Published: (2025)
Similar Items
-
Robust optimal design of large-scale Bayesian nonlinear inverse problems
by: Chowdhary, Abhijit, et al.
Published: (2024) -
Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations
by: Neuberger, J. Nicholas, et al.
Published: (2024) -
Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems
by: Nicholson, Ruanui, et al.
Published: (2025) -
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems
by: Chowdhary, Abhijit, et al.
Published: (2023) -
A control-oriented approach to optimal sensor placement
by: Madhavan, Madhusudan, et al.
Published: (2025)