greenelab/tybalt

Brainstorm: Improving Model

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I'll use a couple issues to discuss capabilities/challenges/evaluation tactics

  • Read more VAE papers and code
    • Archive and discuss in new issues?
  • Define appropriate parameter sweep strategy
  • Determine how to test a "better" model
    • Visualization performance scripts during training
    • Fake vs. Real data classifier
    • Reconstruction against adversarial examples
    • Identify easy to identify signatures (e.g. sex, tumor/normal)
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