Marion Neumann

Graph Learning · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Marion Neumann trusts overall

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

  1. Risi Kondor
  2. Nino Shervashidze
  3. Tommi S. Jaakkola
  4. Karsten M. Borgwardt
  5. David Haussler
  6. Kristian Kersting
  7. S. V. N. Vishwanathan
  8. Diederik P. Kingma
  9. Martin Szummer
  10. Geoffrey E. Hinton

Who trusts Marion Neumann overall

  1. Giovanni Da San Martino
  2. Nicoló Navarin
  3. Muhan Zhang
  4. Haggai Maron
  5. Christopher Morris
  6. Dinh Van Tran
  7. Nils M. Kriege
  8. Alessandro Sperduti
  9. Cristian Bodnar
  10. Francesco Orsini

Papers from Marion Neumann's perspective

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

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

Their papers