Timon Gehr

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 93 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

Whom Timon Gehr trusts overall

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

  1. Alex Krizhevsky
  2. Simon S. Haykin
  3. Ian J. Goodfellow
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Guy Katz
  7. Yoshua Bengio
  8. Christian Szegedy
  9. Xiaowei Huang
  10. Diederik P. Kingma

Who trusts Timon Gehr overall

  1. Shiqi Wang
  2. Huan Zhang
  3. Gagandeep Singh
  4. Hadi Salman
  5. Hung Viet Pham
  6. Eric Wong
  7. Liwei Song
  8. Sven Gowal
  9. Matthias Hein
  10. Changliu Liu

Papers from Timon Gehr's perspective

Ordered by how strongly the researchers Timon Gehr 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers