Nicolas Boumal

Computational Mechanics · 2011–2017

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Boumal trusts overall

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

  1. Pierre-Antoine Absil
  2. Yurii E. Nesterov
  3. Nicholas John Higham
  4. Steven Thomas Smith
  5. Wolfgang Ring
  6. Bart Vandereycken
  7. Pierre Fillard
  8. Rong Ge
  9. Srinadh Bhojanapalli
  10. Michel Journée

Who trusts Nicolas Boumal overall

  1. Bart Vandereycken
  2. Ya-Xiang Yuan
  3. Xiaowei Zhou
  4. David M. Rosen
  5. Thanh T. Ngo
  6. André Uschmajew
  7. John P. Cunningham
  8. Alexander Petersen
  9. Khaled Ben Letaief
  10. Georgios Pavlakos

Papers from Nicolas Boumal's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. The Geometry of Algorithms with Orthogonality Constraints
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers