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Michael K. Ng

8 papers hereh-index 13610 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3
  • last author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • eess.IV1
  • math.NA1
  • math.OC1
same name
  • Michael K. Ng — 14 papers, h 13
  • Michael K. Ng — 7 papers, h 3
  • Michael K. Ng — 5 papers, h 4
  • Michael K. Ng — 4 papers, h 1
  • Michael K. Ng — 4 papers, h 0
  • Michael K. Ng — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedWasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

34 citations · 62 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

eess.IV2021

Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN

Wen Yu, Baiying Lei, Yanyan Shen +5

The diagnosis of early stages of Alzheimer's disease (AD) is essential for timely treatment to slow further deterioration. Visualizing the morphological features for the early stag…

math.NA2021★ 34 cited

Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

Yihang Gao, Michael K. Ng

In this paper, we study a physics-informed algorithm for Wasserstein Generative Adversarial Networks (WGANs) for uncertainty quantification in solutions of partial differential equ…

cs.LG2021

Approximating Probability Distributions by using Wasserstein Generative Adversarial Networks

Yihang Gao, Michael K. Ng, Mingjie Zhou

Studied here are Wasserstein generative adversarial networks (WGANs) with GroupSort neural networks as their discriminators. It is shown that the error bound of the approximation f…

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