Nishanth Chandran

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 67 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Nishanth Chandran trusts overall

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

  1. Ran Canetti
  2. Payman Mohassel
  3. Donald Beaver
  4. Yann LeCun
  5. Oded Goldreich
  6. Jian Liu
  7. Chiraag Shashikant Juvekar
  8. Kaiming He
  9. Dan Bogdanov
  10. Craig Gentry

Who trusts Nishanth Chandran overall

  1. Assi Barak
  2. Marcel Keller
  3. Brian Knott
  4. Rahul Rachuri
  5. Daniel E. Escudero

Papers from Nishanth Chandran's perspective

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

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

Their papers