Bernard Haasdonk

Computational Mechanics · 2002–2013

A researcher in the Science corpus: 6 papers; trusts 57 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Bernard Haasdonk trusts overall

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

  1. Ian T. Jolliffe
  2. Anthony T. Patera
  3. Christopher K. I. Williams
  4. Bernhard Schölkopf
  5. Katherine L. Silversides
  6. Karen Veroy
  7. Clarence W. Rowley
  8. Martin A. Grepl
  9. Yvon Maday
  10. Dimitrios Rovas

Who trusts Bernard Haasdonk overall

  1. Gianluigi Rozza
  2. Marco Cuturi
  3. Benjamin Peherstorfer
  4. Martin A. Grepl
  5. Jihun Ham
  6. Alfio Maria Quarteroni
  7. Toni Lassila
  8. Ngoc Cuong Nguyen
  9. Andrea Manzoni
  10. Paolo Pacciarini

Papers from Bernard Haasdonk's perspective

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

Their papers