Ranganath Krishnan

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 86 citations into it
• Computer Vision and Pattern Recognition — 44 citations into it
• Probabilistic & Bayesian Methods — 34 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Management Science and Operations Research — 13 citations into it
• Optimization & Training — 10 citations into it

Whom Ranganath Krishnan trusts overall

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

1. Yarin Gal
2. Geoffrey E. Hinton
3. Alex Graves
4. Kaiming He
5. Radford M. Neal
6. L. Eon Bottou
7. Alex Krizhevsky
8. Alex Kendall
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Ranganath Krishnan overall

1. Siwei Yu

Papers from Ranganath Krishnan's perspective

Ordered by how strongly the researchers Ranganath Krishnan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference (2018) — 84 citations
• Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2020) — 336 citations