Thomas Bäck

Artificial Intelligence · 1993–2021

A researcher in the Science corpus: 11 papers; trusts 45 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Bäck trusts overall

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

  1. David E. Goldberg
  2. John H. Holland
  3. Jonas Mockus
  4. Andrés Camero
  5. Donald R. Jones
  6. Yoshua Bengio
  7. Paul J. Werbos
  8. Risto Miikkulainen
  9. A. Elsaid
  10. Hao Wang

Who trusts Thomas Bäck overall

  1. Andrés Camero
  2. Yanan Sun
  3. Shumeet Baluja
  4. Wenyin Gong
  5. Jamal Toutouh
  6. Thomas Weise
  7. William B. Langdon
  8. Zwe-Lee Gaing
  9. Bing Xue
  10. Ilhem Boussaïd

Papers from Thomas Bäck's perspective

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

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

Their papers