Martin Benning

Computational Mechanics · 2018

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Benning trusts overall

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

  1. David L. Donoho
  2. E.J. Candes
  3. Thomas Pock
  4. Yunjin Chen
  5. Jérôme Bolte
  6. Gitta Kutyniok
  7. Stefan Roth
  8. Michael Elad
  9. Justin Domke
  10. Ole W. Christensen

Who trusts Martin Benning overall

  1. Simon Robert Arridge
  2. Peter Maass
  3. Ozan Öktem

Papers from Martin Benning's perspective

Ordered by how strongly the researchers Martin Benning 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers