Marcel Nonnenmacher

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Marcel Nonnenmacher trusts overall

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

  1. George Papamakarios
  2. MARK A. Beaumont
  3. Scott Anthony Sisson
  4. Michael G. B. Blum
  5. Simon N. Wood
  6. Yanan Fan
  7. Iain Murray
  8. Michael U Gutmann
  9. Geoffrey E. Hinton
  10. Jan-Matthis Lueckmann

Who trusts Marcel Nonnenmacher overall

  1. Joeri Hermans
  2. George Papamakarios
  3. J. Brehmer
  4. Gilles Louppe
  5. Owen Thomas
  6. Volodimir Begy

Papers from Marcel Nonnenmacher's perspective

Ordered by how strongly the researchers Marcel Nonnenmacher 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers