Lance Fortnow

Algorithms & Complexity · Computational Complexity · 1991–2009

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Lance Fortnow trusts overall

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

  1. Sanjeev Arora
  2. Adi Shamir
  3. Richard M. Karp
  4. Joe Kilian
  5. Michel X. Goemans
  6. Shafi Goldwasser
  7. David S. Johnson
  8. Carsten Lund
  9. Prasad Raghavendra
  10. H. Nader

Who trusts Lance Fortnow overall

  1. Eli Ben-Sasson
  2. Oded Goldreich
  3. Alessandro Chiesa
  4. Srinath T. V. Setty
  5. Silvio Micali
  6. Christopher J. Hillar
  7. Hans L. Bodlaender
  8. Igor L. Markov
  9. Dan Boneh
  10. Manuel Blum

Papers from Lance Fortnow's perspective

Ordered by how strongly the researchers Lance Fortnow 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. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
  4. Gradient-based learning applied to document recognition
  5. Reducibility Among Combinatorial Problems
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers