Mathews Jacob

Computational Mechanics · 2004–2017

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Mathews Jacob trusts overall

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

  1. Pietro Perona
  2. John F. Canny
  3. Diederik P. Kingma
  4. Saul A. Teukolsky
  5. William T. Freeman
  6. Jo Schlemper
  7. Shiqian Ma
  8. Yann LeCun
  9. Karol Gregor
  10. Rick Chartrand

Who trusts Mathews Jacob overall

  1. Thierry Blu
  2. Kazuya Takeda
  3. Florian Luisier
  4. Jo Schlemper
  5. John H. L. Hansen
  6. Florian Knoll

Papers from Mathews Jacob's perspective

Ordered by how strongly the researchers Mathews Jacob 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers