Markus Stoye

Artificial Intelligence · 2004–2020

A researcher in the Science corpus: 75 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Stoye trusts overall

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

  1. J. Brehmer
  2. Kyle Cranmer
  3. Laurent Dinh
  4. Gilles Louppe
  5. Juan Pavez
  6. Takafumi Kanamori
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Geoffrey E. Hinton
  10. Jascha Narain Sohl-Dickstein

Who trusts Markus Stoye overall

  1. J. Brehmer
  2. Kyle Cranmer
  3. Gilles Louppe

Papers from Markus Stoye's perspective

Ordered by how strongly the researchers Markus Stoye 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Et al
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers