Kathryn B. Laskey

Artificial Intelligence · 1983–2012

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kathryn B. Laskey trusts overall

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

  1. Zoubin Ghahramani
  2. Joseph Y. Halpern
  3. Richard E. Neapolitan
  4. David Poole
  5. Ernest Davis
  6. Finn Verner Jensen
  7. Kevin P. Murphy
  8. Eugene Charniak
  9. Ken Lang
  10. Noam Slonim

Who trusts Kathryn B. Laskey overall

  1. Emmanuel Abbe
  2. Sourav Chatterjee
  3. Laurent Massoulié
  4. Tiago P. Peixoto
  5. Jing Lei
  6. Elchanan Mossel
  7. Moritz Tenorth
  8. Christopher DuBois
  9. Quentin Berthet
  10. Peter D. Hoff

Papers from Kathryn B. Laskey's perspective

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

  1. Information Theory: 1948-1998 - Guest Editorial
  2. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  3. The information bottleneck method
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers