Atin Roy

Statistics and Probability · 2023

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Atin Roy trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Siu-Kui Au
  3. Richard G. Brereton
  4. Jean-Marc Bourinet
  5. Olivier Chapelle
  6. James L. Beck
  7. Gavin Rhys Lloyd
  8. Vladimir Naumovich Vapnik
  9. François Deheeger
  10. Maurice Lemaire

Papers from Atin Roy's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Assessing small failure probabilities by combined subset simulation and Support Vector Machines
  3. Choosing Multiple Parameters for Support Vector Machines
  4. Support vector machines for classification and regression. (In Analysis)
  5. Estimation of Small Failure Probabilities in High Dimensions by Subset Simulation
  6. Gradient-based learning applied to document recognition
  7. Estimating the Dimension of a Model
  8. ImageNet classification with deep convolutional neural networks
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers