N. Rudin

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom N. Rudin trusts overall

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

  1. John Schulman
  2. E. Todorov
  3. Jemin Hwangbo
  4. Pieter Abbeel
  5. Viktor Makoviychuk
  6. Adam Stooke
  7. Sergey Levine
  8. Geoffrey E. Hinton
  9. Diederik P. Kingma
  10. Fabio Pardo

Who trusts N. Rudin overall

  1. Gabriel B. Margolis
  2. Tete Xiao
  3. David Hoeller
  4. Ananye Agarwal
  5. Ilija Radosavovic
  6. Jitendra Malik
  7. Ashish Kumar
  8. Ge Yang

Papers from N. Rudin's perspective

Ordered by how strongly the researchers N. Rudin 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Proximal Policy Optimization Algorithms (arXiv.org)
  10. Et al

Their papers