Sarath Pattathil

Optimization & Training · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Sarath Pattathil trusts overall

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

  1. Arkadi Nemirovski
  2. Gauthier Gidel
  3. Yurii E. Nesterov
  4. Paul Tseng
  5. Constantinos Daskalakis
  6. R. Tyrrell Rockafellar
  7. Alexander Rakhlin
  8. Waïss Azizian
  9. Arkadi S. Nemirovsky
  10. Francisco Facchinei

Who trusts Sarath Pattathil overall

  1. Waïss Azizian
  2. Noah Golowich
  3. Ioannis Mitliagkas
  4. Constantinos Daskalakis

Papers from Sarath Pattathil's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers