Yura N. Perov

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 10 papers; trusts 185 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Yura N. Perov trusts overall

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

  1. Vikash K. Mansinghka
  2. Frank D. Wood
  3. Jan-Willem van de Meent
  4. Michael I. Jordan
  5. Geoffrey E. Hinton
  6. Tom Minka
  7. Radford M. Neal
  8. Shixiang Shane Gu
  9. Stephen H. Muggleton
  10. David Tolpin

Who trusts Yura N. Perov overall

  1. Jan-Willem van de Meent
  2. David Tolpin
  3. Matt J. Kusner
  4. Tejas D. Kulkarni
  5. Logan Graham
  6. Brooks Paige
  7. Vikash K. Mansinghka
  8. Hongseok Yang
  9. Frank D. Wood
  10. Zoubin Ghahramani

Papers from Yura N. Perov's perspective

Ordered by how strongly the researchers Yura N. Perov 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers