Gerald Matz

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Gerald Matz trusts overall

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

  1. Martin J. Wainwright
  2. Jorge Nocedal
  3. Tommi S. Jaakkola
  4. Nikos Komodakis
  5. Mark W. Schmidt
  6. Alan S. Willsky
  7. Jonathan Michael Borwein

Who trusts Gerald Matz overall

  1. Karlheinz Gröchenig
  2. Rahul G. Krishnan
  3. Alphan Șahin
  4. Sebastian Nowozin

Papers from Gerald Matz's perspective

Ordered by how strongly the researchers Gerald Matz 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. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers