T. Mullen

Cognitive Neuroscience · Front. Neuroinform. · 2011–2015

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom T. Mullen trusts overall

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

  1. Scott Makeig
  2. Christian Andreas Kothe
  3. Arnaud Delorme
  4. Stephen H. Fairclough
  5. Nathalie Tzourio-Mazoyer
  6. Francis R. Bach
  7. R. Fisher
  8. Bernhard Schölkopf
  9. Tommi S. Jaakkola
  10. Yoav Benjamini

Who trusts T. Mullen overall

  1. Luca Pion-Tonachini
  2. Chi-Yuan Chang
  3. L. J. Gabard-Durnam
  4. Xiaotong Gu
  5. Justin Riddle
  6. Philip J. Monahan
  7. Sheng-Hsiou Hsu
  8. Lauren Sidelinger
  9. Adriana S Méndez Leal
  10. Nima Bigdely Shamlo

Papers from T. Mullen's perspective

Ordered by how strongly the researchers T. Mullen 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers