Laurent Lessard

Computational Mechanics · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Laurent Lessard trusts overall

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

  1. Yurii E. Nesterov
  2. R. Venkata Rao
  3. Daniel Liberzon
  4. Michael Grant
  5. Andreas Wächter
  6. Yoel Drori
  7. Xiaojin Zhu
  8. Stephen Becker
  9. Iain Dunning
  10. Olivier Devolder

Who trusts Laurent Lessard overall

  1. James Lucas
  2. Zeyuan Allen-Zhu
  3. Mahmoud Assran
  4. Jerry Ma
  5. Xuezhou Zhang
  6. Weijie Su
  7. Moritz Hardt
  8. Kun Yuan
  9. Tim Hoheisel
  10. Euhanna Ghadimi

Papers from Laurent Lessard's perspective

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

  1. Stochastic Approximation approach to Stochastic Programming
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Explaining and Harnessing Adversarial Examples
  6. Gradient-based learning applied to document recognition
  7. Gradient methods for minimizing composite functions
  8. Regression Shrinkage and Selection via the Lasso
  9. Introductory Lectures on Convex Optimization - A Basic Course
  10. Learning Multiple Layers of Features from Tiny Images

Their papers