Rohit Singh

Molecular Biology · Proceedings of the National Academy of Sciences of the United States of America · 2007–2022

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Rohit Singh trusts overall

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

  1. Tristan Bepler
  2. Marius Leordeanu
  3. Kevin P. O'Brien
  4. Bobby-Joe Breitkreutz
  5. Aditya Grover
  6. Bonnie Berger
  7. Ioannis Xenarios
  8. C. von Mering
  9. Martial Hebert
  10. Maido Remm

Who trusts Rohit Singh overall

  1. Bonnie Berger
  2. Lenore J. Cowen
  3. Qian Xu
  4. Hongteng Xu
  5. Jian Peng
  6. Trey Ideker
  7. David F. Gleich
  8. Evan Wei Xiang
  9. Dixin Luo
  10. Mona Singh

Papers from Rohit Singh's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)

Their papers