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Generative Model for Heterogeneous Inference
[article]
2018
arXiv
pre-print
Generative models (GMs) such as Generative Adversary Network (GAN) and Variational Auto-Encoder (VAE) have thrived these years and achieved high quality results in generating new samples. Especially in Computer Vision, GMs have been used in image inpainting, denoising and completion, which can be treated as the inference from observed pixels to corrupted pixels. However, images are hierarchically structured which are quite different from many real-world inference scenarios with non-hierarchical
arXiv:1804.09858v1
fatcat:2zztwj443zckdaescpzv5el6ti