Sriram Ganapathi Subramanian

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Reinforcement Learning — 30 citations into it
• Statistics and Probability — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Sriram Ganapathi Subramanian trusts overall

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

1. Jakob N. Foerster
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Hado van Hasselt
5. Volodymyr Mnih
6. Leo Breiman
7. Igor Mordatch
8. Pieter Abbeel
9. Yoshua Bengio
10. Sepp Hochreiter

Papers from Sriram Ganapathi Subramanian's perspective

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

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

Their papers

• Deep Multi Agent Reinforcement Learning for Autonomous Driving (2020) — 60 citations
• A review of machine learning applications in wildfire science and management (2020) — 693 citations