A. Chen

Molecular Biology · with Baur · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Chen trusts

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

  1. Johannes Söding (in Molecular Biology)
  2. Martin Weigt (in Molecular Biology)
  3. Stefan Seemayer (in Molecular Biology)
  4. Matteo Figliuzzi (in Molecular Biology)

Papers from A. Chen's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Language Models are Unsupervised Multitask Learners
  3. WaveNet: A Generative Model for Raw Audio
  4. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  5. Generating Sentences from a Continuous Space
  6. Semi-supervised Learning with Deep Generative Models
  7. Pixel Recurrent Neural Networks
  8. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
  9. Generative Adversarial Nets (Neural Information Processing Systems)
  10. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Their papers