Sivaram Ambikasaran

Atomic and Molecular Physics, and Optics · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sivaram Ambikasaran trusts overall

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

  1. Leslie Greengard
  2. Sergej Rjasanow
  3. Alex Smola
  4. Edward Snelson
  5. Jouni Hartikainen
  6. Per-Gunnar Martinsson
  7. William Fong
  8. James Hensman
  9. Sergei A. Goreinov
  10. Lexing Ying

Who trusts Sivaram Ambikasaran overall

  1. Daniel Foreman-Mackey
  2. Haitao Liu
  3. Moreno Bevilacqua
  4. Alexander Litvinenko
  5. Willie Neiswanger
  6. David W. Hogg
  7. Feng Yin
  8. Timothy Morton
  9. B. Montet
  10. S. Grimm

Papers from Sivaram Ambikasaran's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. A Unifying View of Sparse Approximate Gaussian Process Regression
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers