Juan Felipe Carrasquilla

Atomic and Molecular Physics, and Optics · 2016–2018

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Juan Felipe Carrasquilla trusts overall

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

  1. Alex Krizhevsky
  2. Ruslan Salakhutdinov
  3. Giuseppe Carleo
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Matthias Troyer
  9. Shun-ichi Amari
  10. Diederik P. Kingma

Who trusts Juan Felipe Carrasquilla overall

  1. Bernhard Keimer
  2. Wei Ma
  3. Giuseppe Carleo
  4. H. C. Nguyen
  5. Jacob D. Biamonte
  6. Hsin-Yuan Huang
  7. Vedran Dunjko
  8. Dong-Ling Deng
  9. Or Sharir
  10. J. Moore

Papers from Juan Felipe Carrasquilla's perspective

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

Their papers