Hubert Siuzdak

Signal Processing · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 148 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Hubert Siuzdak trusts overall

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

  1. Jungil Kong
  2. Jaehyeon Kim
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Aäron van den Oord
  7. Karen Simonyan
  8. Takeru Miyato
  9. Alex Krizhevsky
  10. Daniel W. Griffin

Who trusts Hubert Siuzdak overall

  1. Sanyuan Chen
  2. Yushen Chen
  3. Chengyi Wang
  4. Shujie Liu
  5. Hyeong-Seok Choi
  6. Zhikang Niu
  7. Long Zhou
  8. Yanqing Liu
  9. Ziyang Ma
  10. Jinhyeok Yang

Papers from Hubert Siuzdak's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  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