Alireza Yazdani

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Alireza Yazdani trusts overall

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

  1. Maizar Raissi
  2. G. Em Karniadakis
  3. Diederik P. Kingma
  4. Paris Perdikaris
  5. John A. Nelder
  6. John P. Crimaldi
  7. Jimmy Ba
  8. Manoochehr M. Koochesfahani
  9. Geoffrey E. Hinton
  10. Atilim Gunes Baydin

Who trusts Alireza Yazdani overall

  1. Lu Lu
  2. Pengzhan Jin
  3. G. Em Karniadakis
  4. Sifan Wang
  5. Chen-Chun Wu
  6. Luning Sun
  7. Shengze Cai
  8. Xuhui Meng
  9. Jeremy Vincent Yu
  10. Siddhartha Mishra

Papers from Alireza Yazdani's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers