Shaul Druckmann

Cognitive Neuroscience · 2007–2016

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shaul Druckmann trusts overall

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

  1. Kalyanmoy Deb
  2. Z. Michalewicz
  3. Julien Mairal
  4. Nicholas T. Carnevale
  5. Henry Markram
  6. X. Wang
  7. Mark S. Goldman
  8. John J. Hopfield
  9. Moshe Abeles
  10. Francis R. Bach

Who trusts Shaul Druckmann overall

  1. Alexander Borst
  2. Jan-Matthis Lueckmann
  3. Etay Hay
  4. K. C. Ames
  5. Giacomo Bassetto
  6. Henry Markram
  7. Michael Everett Rule
  8. J. Zylberberg

Papers from Shaul Druckmann's perspective

Ordered by how strongly the researchers Shaul Druckmann 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers