Mikel Hernandez

Neurocomputing · 2022

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

Whom Mikel Hernandez trusts overall

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

  1. Megan H. Bair-Merritt
  2. Zhengping Che
  3. Nazmiye Ceren Abay
  4. Noseong Park
  5. Edward Choi
  6. Brett K. Beaulieu-Jones
  7. Individualized Treat

Papers from Mikel Hernandez's perspective

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

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

Their papers