Johann A. Bengua

Computational Mechanics · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Johann A. Bengua trusts overall

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

  1. Guifré Vidal
  2. José I. Latorre
  3. Thomas Mach
  4. Tamara G. Kolda
  5. M. Alex O. Vasilescu
  6. B. Recht
  7. Sebastian Holtz
  8. Zaiwen Wen
  9. Silvia Gandy
  10. Qibin Zhao

Who trusts Johann A. Bengua overall

  1. Renwei Dian
  2. Shutao Li
  3. Leyuan Fang
  4. L. Vanderstraeten

Papers from Johann A. Bengua's perspective

Ordered by how strongly the researchers Johann A. Bengua 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. Learning Multiple Layers of Features from Tiny Images
  8. Exact Matrix Completion via Convex Optimization
  9. Tensor Decompositions and Applications
  10. Some mathematical notes on three-mode factor analysis

Their papers