Parsa Mahmoudieh

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 4 papers; trusts 124 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Parsa Mahmoudieh trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. J. Urgen Schmidhuber
  5. Sergey Levine
  6. Alex Krizhevsky
  7. Richard S. Sutton
  8. Yoshua Bengio
  9. Yann LeCun
  10. Pieter Abbeel

Who trusts Parsa Mahmoudieh overall

  1. J'er'emy Scheurer
  2. Jon Ander Campos
  3. Jun Shern Chan
  4. Alexander Sax
  5. Mengjiao Yang
  6. Boyuan Chen
  7. Timothée Lesort
  8. Angelica Chen
  9. Kyunghyun Cho
  10. A. Srinivas

Papers from Parsa Mahmoudieh's perspective

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

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

Their papers