Solving Inverse Problems via Auto-Encoders

Author:

Peng Pei,Jalali ShirinORCID,Yuan XinORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Electromagnetic Imaging of Uniaxial Objects by Two-Step Neural Network;Applied Sciences;2024-06-27

2. Uncertainty quantification for goal-oriented inverse problems via variational encoder-decoder networks;Inverse Problems;2024-06-17

3. An Architecture-Oriented Analysis of Stacked Denoising Autoencoders;Procedia Computer Science;2024

4. Simpinns: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31

5. Disentangled latent representations of images with atomic autoencoders;2023 International Conference on Sampling Theory and Applications (SampTA);2023-07-10

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