Volodimir Begy

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 97 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Volodimir Begy trusts overall

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

  1. Radford M. Neal
  2. David John Cameron MacKay
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Michael U Gutmann
  6. George Papamakarios
  7. Vivek S. Borkar
  8. Kyle Cranmer
  9. Max Welling
  10. Iain Murray

Who trusts Volodimir Begy overall

  1. Kyle Cranmer
  2. J. Brehmer
  3. Gilles Louppe
  4. Joeri Hermans
  5. Owen Thomas

Papers from Volodimir Begy's perspective

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

Their papers