L. Chen

Generative Models · with Birke · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Chen trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kalyan Veeramachaneni (in Computer Vision and Pattern Recognition)
  2. Samuli Laine (in Computer Vision and Pattern Recognition)
  3. Timo Aila (in Computer Vision and Pattern Recognition)
  4. Martín Arjovsky (in Generative Models)
  5. Tero Karras (in Computer Vision and Pattern Recognition)

Papers from L. Chen's perspective

Ordered by how strongly the researchers L. Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GENERATIVE ADVERSARIAL NETS
  2. Improved Training of Wasserstein GANs
  3. Deep Learning
  4. Conditional Image Synthesis with Auxiliary Classifier GANs
  5. Wasserstein Generative Adversarial Networks
  6. A Style-Based Generator Architecture for Generative Adversarial Networks
  7. The Cramer Distance as a Solution to Biased Wasserstein Gradients
  8. Analyzing and Improving the Image Quality of StyleGAN
  9. PacGAN: The Power of Two Samples in Generative Adversarial Networks
  10. Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Their papers