Adam Scibior

Probabilistic & Bayesian Methods · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Scibior trusts overall

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

  1. Frank D. Wood
  2. Jan-Willem van de Meent
  3. Vikash K. Mansinghka
  4. Arnaud Doucet
  5. Bernhard Schölkopf
  6. Kenji Fukumizu
  7. Radford M. Neal
  8. A. Gordon
  9. Bharath K. Sriperumbudur
  10. Christophe Andrieu

Who trusts Adam Scibior overall

  1. Jon Cockayne
  2. Dustin Tran
  3. S. Staton
  4. Chris J. Oates
  5. Krikamol Muandet
  6. Matthew D. Hoffman

Papers from Adam Scibior's perspective

Ordered by how strongly the researchers Adam Scibior 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. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers