Simone Fulle

Computational Theory and Mathematics · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Simone Fulle trusts overall

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

  1. Vinod Nair
  2. Tianqi Chen
  3. Ehsaneddin Asgari
  4. Fangping Wan
  5. Tomas Mikolov
  6. Geoffrey E. Hinton
  7. Jay Yagnik
  8. Marcus Olivecrona
  9. Garrett B. Goh
  10. Albert J. Kooistra

Who trusts Simone Fulle overall

  1. Sabrina Jaeger
  2. Jae Yong Ryu
  3. Carl N. Edwards

Papers from Simone Fulle's perspective

Ordered by how strongly the researchers Simone Fulle trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Rectified Linear Units Improve Restricted Boltzmann Machines
  2. Efficient Estimation of Word Representations in Vector Space
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers