Forest Agostinelli

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Forest Agostinelli trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Dimitri P. Bertsekas
  4. Yoshua Bengio
  5. Kaiming He
  6. Ilya Sutskever
  7. Xavier Glorot
  8. Pierre Baldi
  9. Yann LeCun
  10. Ian J. Goodfellow

Who trusts Forest Agostinelli overall

  1. Nantheera Anantrasirichai
  2. Mercedes Eugenia Paoletti
  3. Devansh Arpit
  4. Gao Huang
  5. Prajit Ramachandran
  6. D. Bull
  7. Chen-Yu Lee
  8. Juan Mario Haut
  9. Yingbo Zhou
  10. Yu Sun

Papers from Forest Agostinelli's perspective

Ordered by how strongly the researchers Forest Agostinelli 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. Going deeper with convolutions

Their papers