Anup B. Rao

Statistics and Probability · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Anup B. Rao trusts overall

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

  1. Joel A. Tropp
  2. E.J. Candes

Who trusts Anup B. Rao overall

  1. Ilias Diakonikolas
  2. Pravesh Kothari
  3. Jacob Steinhardt
  4. Jerry Zheng Li
  5. Deepesh Data
  6. Daniel M. Kane
  7. Gautam Kamath
  8. Dong Yin
  9. Sai Praneeth Karimireddy
  10. Yu Cheng

Papers from Anup B. Rao's perspective

Ordered by how strongly the researchers Anup B. Rao 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. ImageNet classification with deep convolutional neural networks
  3. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. The Graph Neural Network Model
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  10. Graph Attention Networks (International Conference on Learning Representations)

Their papers