Felix V. Agakov

Probabilistic & Bayesian Methods · 2002–2006

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 228 researchers here, as inferred from the citation graph.

Subfields

Whom Felix V. Agakov trusts overall

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

  1. Michael I. Jordan
  2. Tommi S. Jaakkola
  3. Charles M. Bishop
  4. Radford M. Neal
  5. Martin J. Wainwright
  6. Zoubin Ghahramani
  7. Geoffrey E. Hinton
  8. David Barber
  9. Andrew Y. Ng
  10. Arthur P. Dempster

Who trusts Felix V. Agakov overall

  1. Rajesh Ranganath
  2. Lars Maaløe
  3. Geoffrey E. Hinton
  4. Aaron C. Courville
  5. Yoshua Bengio
  6. Dustin Tran
  7. Christos Louizos
  8. Xi Chen
  9. Mingzhang Yin
  10. Artem Sobolev

Papers from Felix V. Agakov's perspective

Ordered by how strongly the researchers Felix V. Agakov 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  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