Alla Sheffer

Computational Mechanics · 2001–2016

A researcher in the Science corpus: 10 papers; trusts 83 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Alla Sheffer trusts overall

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

  1. Michael S. Floater
  2. Mathieu Desbrun
  3. Xianfeng David Gu
  4. Emil Praun
  5. Pedro V. Sander
  6. Pierre Alliez
  7. John E. Dennis Jr.
  8. Hugues Hoppe
  9. Steven J. Gortler
  10. Bruno Lévy

Who trusts Alla Sheffer overall

  1. Xianfeng David Gu
  2. Michael S. Floater
  3. Kai Hormann
  4. Bruno Lévy
  5. Craig Gotsman
  6. Nicolas Ray
  7. Varun Jain
  8. Pierre Alliez
  9. Daniel Vlasic
  10. Vladimir G. Kim

Papers from Alla Sheffer's perspective

Ordered by how strongly the researchers Alla Sheffer 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers