Paul Grigas

Optimization & Training · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Grigas trusts overall

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

  1. L. Eon Bottou
  2. Yurii E. Nesterov
  3. Martin Jaggi
  4. Guanghui Lan
  5. Shai Ben-David
  6. Priya Lekha Donti
  7. Kenneth L. Clarkson
  8. Dimitris J. Bertsimas
  9. Dimitri P. Bertsekas
  10. Simon Lacoste-Julien

Who trusts Paul Grigas overall

  1. Javier F. Peña
  2. Adam N. Elmachtoub
  3. Yi Xu
  4. Xinkun Nie
  5. Ashia C. Wilson
  6. Motonobu Kanagawa
  7. Ali Aouad
  8. Aurélien Bellet
  9. P. MarinVlastelica
  10. Yu-Xiang Wang

Papers from Paul Grigas's perspective

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

Their papers