X-VAE uses empirical statistics from a pretrained autoencoder to set a data-adaptive Gaussian prior and introduces a latent scaling factor for controllable generation.
Failure modes of variational autoencoders and their effects on downstream tasks
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A literature survey that organizes research on integrating deep neural networks with physics-based methods for computational wave imaging and identifies lessons and trends.
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Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging
A literature survey that organizes research on integrating deep neural networks with physics-based methods for computational wave imaging and identifies lessons and trends.