Ketan Rajawat

Computer Networks and Communications · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 42 citations into it; #4,047 of 9,886 by trust here, #7,140 by citations
• Optimization & Training — 35 citations into it
• Artificial Intelligence — 28 citations into it; #28,168 of 35,345 by trust here, #32,362 by citations
• Computational Mechanics — 28 citations into it; #7,011 of 10,001 by trust here, #9,276 by citations
• Electrical and Electronic Engineering — 18 citations into it; #5,149 of 16,539 by trust here, #14,379 by citations
• Management Science and Operations Research — 18 citations into it; #9,378 of 11,946 by trust here, #10,392 by citations
• Computational Theory and Mathematics — 9 citations into it
• Numerical Analysis — 8 citations into it

Whom Ketan Rajawat trusts overall

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

1. Angelia Nedić
2. Alejandro Ribeiro
3. Asuman E. Ozdaglar
4. Dimitri P. Bertsekas
5. L. Eon Bottou
6. Francis R. Bach
7. Alec Koppel
8. Alekh Agarwal
9. Sundhar Srinivasan Ram
10. Guanghui Lan

Who trusts Ketan Rajawat overall

1. Anis Elgabli
2. Amrit Singh Bedi
3. Liangzu Peng
4. Jihong Park

Papers from Ketan Rajawat's perspective

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

Their papers

• Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks (2019) — 31 citations
• Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation (2017) — 32 citations
• Tracking Moving Agents via Inexact Online Gradient Descent Algorithm (2017) — 45 citations
• Conservative Stochastic Optimization With Expectation Constraints (2020) — 25 citations