Markus Olhofer

Artificial Intelligence · 2002–2022

A researcher in the Science corpus: 7 papers; trusts 91 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Olhofer trusts overall

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

  1. Kalyanmoy Deb
  2. Eckart Zitzler
  3. Qingfu Zhang
  4. Ran Cheng
  5. Simon Huband
  6. Yaochu Jin
  7. Lothar Thiele
  8. Nikolaus Hansen
  9. Hui Li
  10. Xing-yi Zhang

Who trusts Markus Olhofer overall

  1. Yaochu Jin
  2. Ye Tian
  3. Handing Wang
  4. Tinkle Chugh
  5. Xing-yi Zhang
  6. Ran Cheng
  7. Guo Yu
  8. Saman Razavi
  9. Torsten Hildebrandt
  10. J. Branke

Papers from Markus Olhofer's perspective

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

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

Their papers