James von Brecht

Computational Mechanics · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom James von Brecht trusts overall

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

  1. Gitta Kutyniok
  2. E.J. Candes
  3. Kenji Kawaguchi
  4. Pierre Baldi
  5. Yann LeCun
  6. Tom Goldstein
  7. Haihao Lu
  8. Mikhail Belkin

Who trusts James von Brecht overall

  1. Ohad Shamir
  2. Wei Hu

Papers from James von Brecht's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers