# Solution of physics-based Bayesian inverse problems with deep generative priors

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/solution-of-physics-based-bayesian-inverse-problems-with-deep-generative-priors/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dhruv Patel,Deep Ray,Assad A. Oberai |
| Citations | 58 |
| DOI | 10.1016/j.cma.2022.115428 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2107.02926 |
| OpenAlex ID | https://openalex.org/W3182066884 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Dhruv Patel](https://scholariq.org/researchers/dhruv-patel/)

## Paper primary topic

- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)

## Paper topics

- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.