Keno Juechems

Cognitive Neuroscience · 2012–2022

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keno Juechems trusts overall

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

  1. Andrew M. Saxe
  2. Mattia Rigotti
  3. John S. Duncan
  4. Stefano Fusi
  5. Omri Barak
  6. Arthur Jacot
  7. J. Cohen
  8. Kristopher J Preacher
  9. Earl K. Miller
  10. Lénaïc Chizat

Papers from Keno Juechems's perspective

Ordered by how strongly the researchers Keno Juechems 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. Neural Tangent Kernel: Convergence and Generalization in Neural Networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Wide neural networks of any depth evolve as linear models under gradient descent
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers