Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications

Research article (Computers & Mathematics with Applications, 2023) · cited 13× · AI/ML
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Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications

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Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/markov-chain-generative-adversarial-neural-networks-for-solving-bayesian-inverse-problems-in-physics-applications
MLA “Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/markov-chain-generative-adversarial-neural-networks-for-solving-bayesian-inverse-problems-in-physics-applications.
BibTeX @misc{4ortxyz_markov-chain-generative-adversarial-neural-networks-for-solving-bayesian-inverse-problems-in-physics-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications}}, year = {2026}, url = {https://4ort.xyz/entity/markov-chain-generative-adversarial-neural-networks-for-solving-bayesian-inverse-problems-in-physics-applications}, note = {Accessed: 2026-05-24}}
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