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ACT: Asymptotic Conditional Transport
We propose conditional transport (CT) as a new divergence to measure the...
12/28/2020 ∙ by Huangjie Zheng, et al. ∙
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Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
Surrogate task based methods have recently shown great promise for unsup...
12/09/2020 ∙ by Fei Ye, et al. ∙
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Learning on Attribute-Missing Graphs
Graphs with complete node attributes have been widely explored recently....
11/03/2020 ∙ by Xu Chen, et al. ∙
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MCMC-Interactive Variational Inference
Leveraging well-established MCMC strategies, we propose MCMC-interactive...
10/02/2020 ∙ by Quan Zhang, et al. ∙
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Node Attribute Generation on Graphs
Graph structured data provide two-fold information: graph structures and...
07/23/2019 ∙ by Xu Chen, et al. ∙
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Elastic Boundary Projection for 3D Medical Imaging Segmentation
We focus on an important yet challenging problem: using a 2D deep networ...
12/03/2018 ∙ by Tianwei Ni, et al. ∙
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Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation
Integrating multi-phase information is an effective way of boosting visu...
11/28/2018 ∙ by Huangjie Zheng, et al. ∙
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Understanding VAEs in Fisher-Shannon Plane
In information theory, Fisher information and Shannon information (entro...
07/10/2018 ∙ by Huangjie Zheng, et al. ∙
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Degeneration in VAE: in the Light of Fisher Information Loss
Variational Autoencoder (VAE) is one of the most popular generative mode...
02/19/2018 ∙ by Huangjie Zheng, et al. ∙
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