Sebastian M. Waldstein

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian M. Waldstein trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Alec Radford
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Matthew D. Zeiler
  9. Jimmy Ba
  10. Kaiming He

Who trusts Sebastian M. Waldstein overall

  1. Paul Bergmann
  2. Kilian Batzner
  3. Vitjan Zavrtanik
  4. Lukas Ruff
  5. Guansong Pang
  6. Denis A. Gudovskiy
  7. Jakob Bozic
  8. Christoph Baur
  9. Guodong Wang
  10. Julian Wyatt

Papers from Sebastian M. Waldstein's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  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