Srivatsan Srinivasan

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 18 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Srivatsan Srinivasan trusts overall

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

1. Andrew Y. Ng
2. Individualized Treat
3. Chelsea Finn
4. Pieter Abbeel
5. Sergey Levine
6. Jinsung Yoon
7. Geoffrey E. Hinton
8. Alistair E. W. Johnson
9. Diederik P. Kingma
10. Yoshua Bengio

Papers from Srivatsan Srinivasan's perspective

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

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

Their papers

• Evaluating Reinforcement Learning Algorithms in Observational Health Settings (2018) — 151 citations
• Interpretable Batch IRL to Extract Clinician Goals in ICU Hypotension Management. (2020) — 16 citations