Jukka Corander

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 15 papers; trusts 98 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Jukka Corander trusts overall

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

  1. J. K. Pritchard
  2. MARK A. Beaumont
  3. Michael U Gutmann
  4. Matthew Stephens
  5. Geoffrey E. Hinton
  6. François Balloux
  7. Daniel Falush
  8. Aapo Hyvärinen
  9. Patrik Waldmann
  10. Jean-Michel Marin

Who trusts Jukka Corander overall

  1. Robin S. Waples
  2. Mattias Jakobsson
  3. Naama M. Kopelman
  4. Joeri Hermans
  5. Lu Cheng
  6. Arnaud Estoup
  7. Emily K Latch
  8. Balaji Lakshminarayanan
  9. George Papamakarios
  10. Jukka Sirén

Papers from Jukka Corander's perspective

Ordered by how strongly the researchers Jukka Corander 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers