Philipp Christian Petersen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Christian Petersen trusts overall

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

  1. Matus Telgarsky
  2. John M. Lee
  3. Stéphane Mallat
  4. Martin H. Anthony
  5. Itay Safran
  6. Erwan Le Pennec
  7. Thomas Wiatowski
  8. Andrew R. Barron
  9. Geoffrey E. Hinton
  10. Yann LeCun

Who trusts Philipp Christian Petersen overall

  1. Taiji Suzuki
  2. Lu Lu
  3. Thierry Bouwmans
  4. Ding-Xuan Zhou
  5. Yanhui Su
  6. Sajid Javed
  7. Nicholas G. Polson
  8. G. Em Karniadakis
  9. Dhivya Elavarasan
  10. Maryam Sultana

Papers from Philipp Christian Petersen's perspective

Ordered by how strongly the researchers Philipp Christian Petersen 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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