Gordon Wichern

Signal Processing · with Roux · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gordon Wichern trusts overall

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

  1. John R. Hershey
  2. Jonathan Le Roux
  3. Yi Luo
  4. Zhong-Qiu Wang
  5. Zhuo Chen
  6. Nima Mesgarani
  7. Yusuf Ziya Isik
  8. Shinji Watanabe
  9. Diederik P. Kingma
  10. Hakan Erdogan

Who trusts Gordon Wichern overall

  1. Shlomo E. Chazan
  2. Yihui Fu
  3. Matthew Maciejewski
  4. Mirco Ravanelli
  5. Wei-Cheng Tseng
  6. Alexander H. Liu
  7. Lior Wolf
  8. Eliya Nachmani
  9. Hyeong-Seok Choi

Papers from Gordon Wichern's perspective

Ordered by how strongly the researchers Gordon Wichern trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers