Chandrashekar Lakshminarayanan

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Reinforcement Learning — 5 citations into it

Whom Chandrashekar Lakshminarayanan trusts overall

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

1. Richard S. Sutton
2. David Ruppert
3. David P. Woodruff
4. Francis R. Bach
5. Boris Polyak
6. Mengdi Wang
7. Dimitri P. Bertsekas
8. Andrew Barto
9. Hamid Reza Maei
10. Bo Liu

Who trusts Chandrashekar Lakshminarayanan overall

1. Rayadurgam Srikant
2. Shangtong Zhang
3. Jalaj Bhandari
4. Lei Ying
5. Bo Liu
6. Daniel Russo
7. Shimon Whiteson
8. Raghav Singal
9. Ben M. Hambly

Papers from Chandrashekar Lakshminarayanan's perspective

Ordered by how strongly the researchers Chandrashekar Lakshminarayanan 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Reinforcement Learning: An Introduction
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? (2018) — 147 citations