Román Marchant

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Román Marchant trusts overall

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

  1. Volker Tresp
  2. D. Higdon
  3. Brian Ferris
  4. James Bergstra
  5. David John Cameron MacKay
  6. Michael A. Osborne
  7. Andreas Krause
  8. Dirk Hähnel
  9. Yoshua Bengio
  10. Rémi Bardenet

Who trusts Román Marchant overall

  1. Ruben Martinez-Cantin
  2. Ziyun Wang
  3. Bobak Shahriari
  4. Nando de Freitas
  5. Yannis Assael

Papers from Román Marchant's perspective

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

Their papers