Reza Malekian

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Reza Malekian trusts

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

  1. Geoffrey E. Hinton (in Artificial Intelligence)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Ruslan Salakhutdinov (in Artificial Intelligence)

Papers from Reza Malekian's perspective

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

  1. Learning Deep Architectures for AI
  2. Representation Learning: A Review and New Perspectives
  3. Why Does Unsupervised Pre-training Help Deep Learning?
  4. An Efficient Learning Procedure for Deep Boltzmann Machines
  5. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (IEEE transactions on intelligent transportation systems (Print))
  6. Baseband Equivalent Volterra Series for Digital Predistortion of Dual-Band Power Amplifiers (IEEE transactions on microwave theory and techniques)
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers