Javier Burroni

Cognitive Neuroscience · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Burroni trusts overall

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

  1. S. Staton
  2. Geoffrey E. Hinton
  3. Matthew D. Hoffman
  4. Radford M. Neal
  5. Andrew Gelman
  6. Maximilian Riesenhuber
  7. Tomaso A. Poggio
  8. Du Phan
  9. Dustin Tran
  10. Martin A. Giese

Who trusts Javier Burroni overall

  1. Guillaume Baudart
  2. German Ignacio Parisi

Papers from Javier Burroni's perspective

Ordered by how strongly the researchers Javier Burroni 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. 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