R. Argelaguet

Molecular Biology · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom R. Argelaguet trusts overall

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

  1. David M. Blei
  2. Tim Stuart
  3. Oliver Stegle
  4. Geoffrey E. Hinton
  5. Aaron T. L. Lun
  6. Michael I. Jordan
  7. Malte D. Luecken
  8. Valentine Svensson
  9. Tommi S. Jaakkola
  10. Xiaoping Zhou

Who trusts R. Argelaguet overall

  1. M. Matchado
  2. Giovanni Palla
  3. Malte D. Luecken
  4. Fabian J Theis
  5. Hossein Sharifi-Noghabi
  6. Michael Lauber
  7. Tara Eicher
  8. David S. Fischer
  9. Anna S. E. Cuomo

Papers from R. Argelaguet's perspective

Ordered by how strongly the researchers R. Argelaguet 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers