Christian Puhrsch

Artificial Intelligence · 2014–2024

A researcher in the Science corpus: 4 papers; trusts 169 researchers and is trusted by 1,866 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Puhrsch trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Alex Graves
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. L. Eon Bottou
  8. Diederik P. Kingma
  9. Kaiming He
  10. Tomas Mikolov

Who trusts Christian Puhrsch overall

  1. Ronan Collobert
  2. Awni Y. Hannun
  3. Chunhua Shen
  4. Gabriel Synnaeve
  5. Alexei Baevski
  6. Dan Xu
  7. Abhinav Kumar Gupta
  8. Yoshua Bengio
  9. Wanli Ouyang
  10. Xiaogang Wang

Papers from Christian Puhrsch's perspective

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

Their papers