Alejandro Luebs

Signal Processing · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 64 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Alejandro Luebs trusts overall

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

  1. Aäron van den Oord
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Oriol Vinyals
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Alex Graves
  10. Kaiming He

Who trusts Alejandro Luebs overall

  1. Zalán Borsos
  2. Jean-Marc Valin
  3. Jan Skoglund
  4. Dongchao Yang
  5. Rongjie Huang
  6. Neil Zeghidour
  7. Xue Jiang
  8. Hubert Siuzdak
  9. Jade Copet
  10. Alexandre D'efossez

Papers from Alejandro Luebs's perspective

Ordered by how strongly the researchers Alejandro Luebs 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. 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. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers