Iulia-Alexandra Lungu

Electrical and Electronic Engineering · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Iulia-Alexandra Lungu trusts overall

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

  1. Alex Krizhevsky
  2. Matthieu Courbariaux
  3. Yoshua Bengio
  4. Sergey Ioffe
  5. Yann LeCun
  6. Geoffrey E. Hinton
  7. Christian Szegedy
  8. Steven K. Esser
  9. Ilya Sutskever
  10. Timothée Masquelier

Who trusts Iulia-Alexandra Lungu overall

  1. Wei Fang
  2. Kaushik Roy
  3. Nitin Rathi
  4. Bing Han
  5. Kashu Yamazaki
  6. Seijoon Kim

Papers from Iulia-Alexandra Lungu's perspective

Ordered by how strongly the researchers Iulia-Alexandra Lungu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers