Alp Kucukelbir

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 6 papers; trusts 131 researchers and is trusted by 140 researchers here, as inferred from the citation graph.

Subfields

Whom Alp Kucukelbir trusts overall

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

  1. Radford M. Neal
  2. David M. Blei
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Michael I. Jordan
  6. Rajesh Ranganath
  7. Shun-ichi Amari
  8. Matthew D. Hoffman
  9. L. Eon Bottou
  10. Max Welling

Who trusts Alp Kucukelbir overall

  1. David M. Blei
  2. Dustin Tran
  3. Francisco J. R. Ruiz
  4. Stephan Mandt
  5. Michalis K. Titsias
  6. Rajesh Ranganath
  7. Yixin Wang
  8. Yuling Yao
  9. Aki Vehtari
  10. Danijar Hafner

Papers from Alp Kucukelbir's perspective

Ordered by how strongly the researchers Alp Kucukelbir 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers