Nicolas Gillis

Computational Mechanics · 2010–2015

A researcher in the Science corpus: 5 papers; trusts 110 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Gillis trusts overall

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

  1. Chih-Jen Lin
  2. José M. Bioucas-Dias
  3. Chris H. Q. Ding
  4. Hyunsoo Kim
  5. Haesun Park
  6. Jingu Kim
  7. Jose M. P. Nascimento
  8. Daniel D. Lee
  9. Stephen A. Vavasis
  10. Sanjeev Arora

Who trusts Nicolas Gillis overall

  1. Zhao Song
  2. Ilya P. Razenshteyn
  3. Qiuwei Li
  4. Madeleine Udell
  5. David P. Woodruff
  6. Damek Davis
  7. Zhihui Zhu
  8. Kai Zhong
  9. Corinne Horn
  10. Yurii E. Nesterov

Papers from Nicolas Gillis's perspective

Ordered by how strongly the researchers Nicolas Gillis 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers