Maxat Kulmanov

Molecular Biology · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Maxat Kulmanov trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Vinod Nair
  5. Anastasia Baryshnikova
  6. Xavier Glorot
  7. Wyatt Travis Clark
  8. Jesse Davis
  9. Emmanuel Boutet
  10. Jimmy Ba

Who trusts Maxat Kulmanov overall

  1. Pedro Hermosilla
  2. Nils Strodthoff
  3. Felipe Kenji Nakano
  4. Yu Li
  5. Marco Schäfer
  6. Patrick Wagner
  7. Mathias Lietaert
  8. Matěj Lang
  9. Chao Huang
  10. Gloria Fackelmann

Papers from Maxat Kulmanov's perspective

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

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

Their papers