T. Nissen‐Meyer

Geophysics · 2011–2021

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Nissen‐Meyer trusts overall

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

  1. G. Em Karniadakis
  2. Maizar Raissi
  3. Matteo Frigo
  4. Dimitri Komatitsch
  5. Isaac E. Lagaris
  6. Liu Yang
  7. Thorsten W. Becker
  8. Lu Lu
  9. Diederik P. Kingma
  10. Sifan Wang

Papers from T. Nissen‐Meyer's perspective

Ordered by how strongly the researchers T. Nissen‐Meyer 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. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. GENERATIVE ADVERSARIAL NETS
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers