Simon Setzer

Computational Mechanics · 2010–2014

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Setzer trusts overall

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

  1. Antonin Chambolle
  2. Yurii E. Nesterov
  3. Tom Goldstein
  4. Amir Beck
  5. Patrick L. Combettes
  6. Stanley J. Osher
  7. Marc Teboulle
  8. Mingqiang Zhu
  9. Thomas Pock
  10. Kristian Bredies

Who trusts Simon Setzer overall

  1. Jean-Christophe Pesquet
  2. Patrick L. Combettes
  3. Nikos Komodakis
  4. Konstantinos Papafitsoros
  5. Tom Goldstein
  6. Carola-Bibiane Schönlieb
  7. Brendan O'Donoghue
  8. Junfeng Yang
  9. Martin Benning

Papers from Simon Setzer's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Regression Shrinkage and Selection via the Lasso
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Nonlinear total variation based noise removal algorithms
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  8. Gradient-based learning applied to document recognition
  9. Splitting Algorithms for the Sum of Two Nonlinear Operators
  10. Smooth minimization of non-smooth functions

Their papers