Vanessa Isabell Jurtz

Molecular Biology · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vanessa Isabell Jurtz trusts overall

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

  1. Morten Nielsen
  2. Massimo Andreatta
  3. Sean R. Eddy
  4. Yoshua Bengio
  5. Yann LeCun
  6. Xavier Glorot
  7. Geoffrey E. Hinton
  8. Søren Kaae Sønderby
  9. Martin Christen Frølund Thomsen
  10. Claus Lundegaard

Who trusts Vanessa Isabell Jurtz overall

  1. Kevin Kaichuang Yang
  2. Marta M. Stepniewska-Dziubinska
  3. Alba Grifoni
  4. Michael Schantz Klausen
  5. Shutao Mei
  6. Zachary Wu

Papers from Vanessa Isabell Jurtz's perspective

Ordered by how strongly the researchers Vanessa Isabell Jurtz 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers