Claire N. Bedbrook

Molecular Biology · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Claire N. Bedbrook trusts overall

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

  1. Philip A. Romero
  2. Frances H. Arnold
  3. J. Kyte
  4. Andreas Krause
  5. Christopher A. Voigt
  6. Niranjan Srinivas
  7. Russell F. Doolittle
  8. Fabian Pedregosa

Who trusts Claire N. Bedbrook overall

  1. Kevin Kaichuang Yang
  2. Zachary Wu
  3. Frances H. Arnold
  4. Yunan Luo
  5. Tristan Bepler
  6. Surojit Biswas
  7. Lam Vo
  8. E. C. Alley

Papers from Claire N. Bedbrook's perspective

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

  1. Visualizing Data using t-SNE
  2. Scikit-learn: Machine Learning in Python
  3. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Millisecond-timescale, genetically targeted optical control of neural activity (Nature Neuroscience)
  6. Navigating the protein fitness landscape with Gaussian processes
  7. ImageNet classification with deep convolutional neural networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Independent Optical Excitation of Distinct Neural Populations
  10. Gradient-based learning applied to document recognition

Their papers