Ravi Kumar

Artificial Intelligence · with Carroll · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ravi Kumar trusts overall

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

  1. Zoubin Ghahramani
  2. Jonah Gabry
  3. Andrew Gelman
  4. Sumio Watanabe
  5. Dustin Tran
  6. Aki Vehtari
  7. Daniel P. Simpson

Who trusts Ravi Kumar overall

  1. Aki Vehtari
  2. Andrew Gelman
  3. Jonah Gabry

Papers from Ravi Kumar's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Probabilistic machine learning and artificial intelligence
  8. ImageNet: A large-scale hierarchical image database
  9. Probabilistic programming in Python using PyMC3
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers