Saurabh Johri

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saurabh Johri trusts overall

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

  1. Judea Pearl
  2. David E. Heckerman
  3. Ilya Shpitser
  4. Quaid D. Morris
  5. Daniel Nikolaev Nikovski
  6. Alexander Balke
  7. Jan Peters
  8. Ciarán M. Lee
  9. Yura N. Perov
  10. Donald B. Rubin

Papers from Saurabh Johri's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Causality : Models , Reasoning , and Inference
  6. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  7. Gradient-based learning applied to document recognition
  8. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers