Namrata Anand-Achim

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Namrata Anand-Achim trusts overall

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

  1. David Baker
  2. Colin A. Smith
  3. Alec Radford
  4. Brian Kuhlman
  5. Po-Ssu Huang
  6. Julian Besag
  7. S. Parasuraman
  8. Sergey Ioffe
  9. Stephen F. Altschul
  10. Tanja Kortemme

Who trusts Namrata Anand-Achim overall

  1. Robin Pearce
  2. Xingjie Pan
  3. Namrata Anand
  4. Michael Jendrusch
  5. Wenhao Gao
  6. Bowen Jing
  7. Raphael J. L. Townshend
  8. Yang Zhang
  9. Tanja Kortemme
  10. Tudor Achim

Papers from Namrata Anand-Achim's perspective

Ordered by how strongly the researchers Namrata Anand-Achim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers