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20182021
most citedOn the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks

19 citations · 34 across the 9 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

stat.ML2020★ 3 cited

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling

Akash Srivastava, Yamini Bansal, Yukun Ding +15

Current autoencoder-based disentangled representation learning methods achieve disentanglement by penalizing the (aggregate) posterior to encourage statistical independence of the…

eess.IV2020

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising

Jinglan Liu, Yukun Ding, Jinjun Xiong +6

CT image denoising can be treated as an image-to-image translation task where the goal is to learn the transform between a source domain (noisy images) and a target domain …