Benjamin Nachman

Nuclear and High Energy Physics · 2015–2022

A researcher in the Science corpus: 32 papers; trusts 149 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Nachman trusts overall

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

  1. Matteo Cacciari
  2. G. Salam
  3. A. Larkoski
  4. Jesse Thaler
  5. Diederik P. Kingma
  6. Cms Collaboration
  7. M. Schwartz
  8. G. Soyez
  9. Christian W. Bauer
  10. Geoffrey E. Hinton

Who trusts Benjamin Nachman overall

  1. Patrick T. Komiske
  2. E. Metodiev
  3. A. Larkoski
  4. Yongjun Hong
  5. Anders Andreassen
  6. Jesse Thaler
  7. Frédéric A. Dreyer
  8. Luke de Oliveira
  9. I. Moult

Papers from Benjamin Nachman's perspective

Ordered by how strongly the researchers Benjamin Nachman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. Et al

Their papers