Donald J. Jacobs

Molecular Biology · 2000–2014

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Donald J. Jacobs trusts overall

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

  1. Aapo Hyvärinen
  2. Bernhard Schölkopf
  3. Hui Zou
  4. Erkki Oja
  5. Alex Smola
  6. Trevor J. Hastie
  7. Robert Tibshirani

Who trusts Donald J. Jacobs overall

  1. Alexandre M. J. J. Bonvin
  2. Charles C. David
  3. N. Fowler
  4. Zhenyu Yang
  5. Peter Csermely
  6. Yuzhen Ye
  7. J. Jeliazkov
  8. M. Williamson
  9. K. Henzler-Wildman
  10. Xiaoxi Zeng

Papers from Donald J. Jacobs's perspective

Ordered by how strongly the researchers Donald J. Jacobs trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. GENERATIVE ADVERSARIAL NETS
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Fast and robust fixed-point algorithms for independent component analysis

Their papers