Ellen Kuhl

Mechanics of Materials · 2000–2020

A researcher in the Science corpus: 20 papers; trusts 46 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Ellen Kuhl trusts overall

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

  1. Anita Hansbo
  2. Gerhard A. Holzapfel
  3. V. Lubarda
  4. F. Sahli Costabal
  5. Ted Belytschko
  6. Paris Perdikaris
  7. Peter Hansbo
  8. Garth N. Wells
  9. T. Christian Gasser
  10. S. Forest

Who trusts Ellen Kuhl overall

  1. Yuri Bazilevs
  2. F. Sahli Costabal
  3. Jian-Ying Wu
  4. P. Jäger
  5. Paul Steinmann
  6. Victor Manuel Calo
  7. F. P. van der Meer
  8. Timon Rabczuk
  9. J. Pereira
  10. T. Chau-Dinh

Papers from Ellen Kuhl's perspective

Ordered by how strongly the researchers Ellen Kuhl 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. Understanding the difficulty of training deep feedforward neural networks
  5. Long Short-Term Memory
  6. Intriguing properties of neural networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers