C. A. Naesseth

Probabilistic & Bayesian Methods · 2015–2023

A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom C. A. Naesseth trusts overall

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

  1. Arnaud Doucet
  2. Diederik P. Kingma
  3. Pierre Del Moral
  4. Rajesh Ranganath
  5. Danilo Jimenez Rezende
  6. Michael I. Jordan
  7. Nicolas Chopin
  8. Geoffrey E. Hinton
  9. Radford M. Neal
  10. David M. Blei

Who trusts C. A. Naesseth overall

  1. Tom Rainforth
  2. Tuan Anh Le
  3. Dieterich Lawson
  4. Joseph Marino
  5. Xun Zheng
  6. Justin Domke
  7. Guy Revach
  8. Jan-Willem van de Meent
  9. Frank D. Wood
  10. George Tucker

Papers from C. A. Naesseth's perspective

Ordered by how strongly the researchers C. A. Naesseth 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers