Sebastian Engelke

Finance · 2012–2019

A researcher in the Science corpus: 7 papers; trusts 105 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Engelke trusts overall

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

  1. Zakhar Kabluchko
  2. Martin Schlather
  3. A. C. Davison
  4. Daniel Cooley
  5. Laurens de Haan
  6. Antonius B. Dieker
  7. Janet E. Heffernan
  8. Raphaël Huser
  9. Jonathan A. Tawn
  10. John H. J. Einmahl

Who trusts Sebastian Engelke overall

  1. Raphaël Huser
  2. A. C. Davison
  3. Emeric Thibaud
  4. Peiman Asadi
  5. Thomas Opitz
  6. John H. J. Einmahl
  7. Raphaël de Fondeville
  8. Chuanxing Geng
  9. Marc G. Genton
  10. Nicola Gnecco

Papers from Sebastian Engelke's perspective

Ordered by how strongly the researchers Sebastian Engelke 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers