Marco S. Molinaro

Optimization & Training · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Marco S. Molinaro trusts overall

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

  1. Elad Hazan
  2. Dan Garber
  3. Martin Jaggi
  4. Philip Wolfe
  5. William M. Waite
  6. Adam Tauman Kalai
  7. Shai Shalev-Shwartz
  8. Aharon Ben-Tal
  9. Constantin Zalinescu
  10. Boris Polyak

Who trusts Marco S. Molinaro overall

  1. Thomas Kerdreux
  2. Alexandre d'Aspremont

Papers from Marco S. Molinaro's perspective

Ordered by how strongly the researchers Marco S. Molinaro 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. An algorithm for quadratic programming
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization

Their papers