Mark Meyer

Computational Mechanics · 2002–2017

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Meyer trusts overall

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

  1. Ulrich Pinkall
  2. Mathieu Desbrun
  3. Michael Garland
  4. Konrad Polthier
  5. Bruno Lévy
  6. Paul S. Heckbert
  7. Michael S. Floater
  8. Takeo Igarashi
  9. Diederik P. Kingma

Who trusts Mark Meyer overall

  1. Mario Botsch
  2. Olga Sorkine-Hornung
  3. Michael M. Bronstein
  4. A. Bronstein
  5. Natarajan Sukumar
  6. Davide Boscaini
  7. David Glickenstein
  8. Pierre Alliez
  9. Anil N. Hirani
  10. Bruno Lévy

Papers from Mark Meyer's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Understanding the difficulty of training deep feedforward neural networks
  3. WaveNet: A Generative Model for Raw Audio
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Surface simplification using quadric error metrics
  8. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Image quality assessment: from error visibility to structural similarity

Their papers