Tim Hoheisel

Computational Theory and Mathematics · 2007–2020

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Hoheisel trusts overall

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

  1. Stefan Scholtes
  2. Jane J. Ye
  3. Michael L. Flegel
  4. Christian Kanzow
  5. Boris S. Mordukhovich
  6. Boris Polyak
  7. Bastian Goldlücke
  8. Sébastien Bubeck
  9. Mark W. Schmidt
  10. Hongzhou Lin

Who trusts Tim Hoheisel overall

  1. Christian Kanzow
  2. Canh T. Dinh
  3. Nguyen H. Tran

Papers from Tim Hoheisel's perspective

Ordered by how strongly the researchers Tim Hoheisel 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. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers