Guillermo A. Cecchi

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 9 papers; trusts 15 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Guillermo A. Cecchi trusts overall

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

  1. Yuhai Wu
  2. Chih-Jen Lin
  3. Been Kim
  4. Barbara Olshausen
  5. Ethan R. Elenberg
  6. Abhimanyu Das
  7. Rajiv Khanna
  8. John-Dylan Haynes

Who trusts Guillermo A. Cecchi overall

  1. Klaus Greff
  2. Nadia Burkart
  3. Andrew Zalesky
  4. Amit Dhurandhar
  5. Alex Fornito
  6. A. R. Rao
  7. A. Yeung
  8. David P. Reichert
  9. Yong He
  10. Bilwaj Gaonkar

Papers from Guillermo A. Cecchi's perspective

Ordered by how strongly the researchers Guillermo A. Cecchi 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. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. LIBSVM: A library for support vector machines
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers