Satyajith Amaran

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Management Science and Operations Research — 12 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Optimization & Training — 8 citations into it
• Numerical Analysis — 7 citations into it

Whom Satyajith Amaran trusts overall

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

1. Reuven Y. Rubinstein
2. Donald R. Jones
3. Nikolaus Hansen
4. Jonas Mockus
5. Tim Hesterberg
6. R. H. Smith
7. Jack P. C. Kleijnen
8. Marco Dorigo
9. Carl E. Rasmussen
10. Andrew R. Conn

Who trusts Satyajith Amaran overall

1. Krzysztof Marcin Choromanski
2. Atil Iscen

Papers from Satyajith Amaran's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. A Stochastic Approximation Method
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Efficient Global Optimization of Expensive Black-Box Functions
5. Learning Multiple Layers of Features from Tiny Images
6. Reinforcement Learning: An Introduction
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Their papers

• Simulation optimization: a review of algorithms and applications (2014) — 614 citations