Brian Ichter

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 20 papers; trusts 789 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Ichter trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Leslie Pack Kaelbling
  4. Kaiming He
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Sergey Levine
  8. Yann LeCun
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Brian Ichter overall

  1. Ahmed Hussain Qureshi
  2. Suraj Nair
  3. Yevgen Chebotar
  4. Kuan Fang
  5. Anthony Brohan
  6. Benjamin Eysenbach
  7. Michael Ahn
  8. Andrew Szot
  9. Ted Xiao
  10. Mayur Joseph Bency

Papers from Brian Ichter's perspective

Ordered by how strongly the researchers Brian Ichter 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers