Tzyy-Ping Jung

Cognitive Neuroscience · 1995–2023

A researcher in the Science corpus: 21 papers; trusts 53 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Tzyy-Ping Jung trusts overall

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

  1. Anthony J. Bell
  2. Scott Makeig
  3. Shun-ichi Amari
  4. Terrence J. Sejnowski
  5. Christian Jutten
  6. Xiaorong Gao
  7. Aapo Hyvärinen
  8. Shangkai Gao
  9. Zhilin Zhang
  10. Barbara Olshausen

Who trusts Tzyy-Ping Jung overall

  1. Scott Makeig
  2. Arnaud Delorme
  3. Terrence J. Sejnowski
  4. Julie Anne Onton
  5. Masaki Nakanishi
  6. Hilit Serby
  7. Xiaotong Gu
  8. Joseph T. Gwin
  9. D. Subha
  10. Mikhail A. Lebedev

Papers from Tzyy-Ping Jung's perspective

Ordered by how strongly the researchers Tzyy-Ping Jung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Natural Gradient Works Efficiently in Learning
  9. GENERATIVE ADVERSARIAL NETS
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers