Pages that link to "Item:Q2120777"
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The following pages link to Solving inverse problems using conditional invertible neural networks (Q2120777):
Displaying 16 items.
- Variational inference for nonlinear inverse problems via neural net kernels: comparison to Bayesian neural networks, application to topology optimization (Q2083125) (← links)
- Variable-order approach to nonlocal elasticity: theoretical formulation, order identification via deep learning, and applications (Q2115574) (← links)
- On obtaining sparse semantic solutions for inverse problems, control, and neural network training (Q2132578) (← links)
- Normalizing field flows: solving forward and inverse stochastic differential equations using physics-informed flow models (Q2138012) (← links)
- Data-consistent neural networks for solving nonlinear inverse problems (Q2697358) (← links)
- Solving inverse bimodular problems via artificial neural network (Q3647590) (← links)
- Convolutional Neural Networks in Phase Space and Inverse Problems (Q5149211) (← links)
- VI-DGP: a variational inference method with deep generative prior for solving high-dimensional inverse problems (Q6053024) (← links)
- A Normalizing Field Flow Induced Two-Stage Stochastic Homogenization Method for Random Composite Materials (Q6142999) (← links)
- A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows (Q6194145) (← links)
- Bi-fidelity variational auto-encoder for uncertainty quantification (Q6202982) (← links)
- Learning to solve Bayesian inverse problems: an amortized variational inference approach using Gaussian and flow guides (Q6560691) (← links)
- Conditional score-based diffusion models for solving inverse elasticity problems (Q6663241) (← links)
- Variational Bayesian optimal experimental design with normalizing flows (Q6663253) (← links)
- Weak neural variational inference for solving Bayesian inverse problems \textit{without} forward models: applications in elastography (Q6663307) (← links)
- Robustness and exploration of variational and machine learning approaches to inverse problems: an overview (Q6664954) (← links)
