Johannes Brandstetter

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 87 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Johannes Brandstetter trusts overall

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

  1. Max Welling
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Zong-Yi Li
  7. Yann LeCun
  8. Johannes Klicpera
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Johannes Brandstetter overall

  1. Zhuoran Qiao
  2. Zijie Li
  3. Tess E. Smidt
  4. Yi Liao
  5. Mario Geiger
  6. Yuanqi Du
  7. Ilyes Batatia
  8. Hannes Stärk
  9. Weili Nie
  10. Tianfan Fu

Papers from Johannes Brandstetter's perspective

Ordered by how strongly the researchers Johannes Brandstetter 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers