Jonathan A. Kelner

Computational Theory and Mathematics · 2001–2014

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan A. Kelner trusts overall

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

  1. Yurii E. Nesterov
  2. Daniel A. Spielman
  3. Sanjeev Arora
  4. Shang-Hua Teng
  5. Harald Räcke
  6. Ravindra K. Ahuja
  7. Elad Hazan
  8. Yin Tat Lee
  9. Naveen Garg
  10. Paul Christiano

Who trusts Jonathan A. Kelner overall

  1. Yin Tat Lee
  2. Aaron Sidford
  3. Peter G. Casazza
  4. Li Chen
  5. Minh N. Do
  6. P. Gǎvruţa
  7. Samuel B. Hopkins
  8. Vivek K Goyal
  9. Lorenzo Orecchia
  10. Gauthier Gidel

Papers from Jonathan A. Kelner's perspective

Ordered by how strongly the researchers Jonathan A. Kelner 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers