Amarjeet Singh

Computational Theory and Mathematics · 2005–2014

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 17 citations into it
• Statistics and Probability — 17 citations into it
• Artificial Intelligence — 15 citations into it; #6,242 of 35,345 by trust here, #9,092 by citations
• Computer Networks and Communications — 12 citations into it
• Statistical Learning Theory — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Management Science and Operations Research — 7 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Amarjeet Singh trusts overall

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

1. Andreas Krause
2. David John Cameron MacKay
3. Carlos Guestrin
4. Maxim Sviridenko
5. Eric R. Ziegel
6. George L. Nemhauser
7. Nicholas John Higham
8. Olivier Ledoit
9. Frédéric Bourgault
10. Avrim Blum

Who trusts Amarjeet Singh overall

1. Andreas Krause
2. Michael A. Osborne
3. Carlos Guestrin
4. Niv Buchbinder
5. Ashwinkumar Badanidiyuru
6. Xin Li
7. Roman Garnett
8. Moran Feldman
9. Marc Peter Deisenroth
10. Yatao Bian

Papers from Amarjeet Singh's perspective

Ordered by how strongly the researchers Amarjeet Singh 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. Information Theory, Inference, and Learning Algorithms
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Reinforcement Learning: An Introduction
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. An analysis of approximations for maximizing submodular set functions—I
9. Information based adaptive robotic exploration (IEEE/RSJ International Conference on Intelligent Robots and Systems)
10. Coordination for Multi-Robot Exploration and Mapping (AAAI/IAAI)

Their papers

• Near-optimal sensor placements in Gaussian processes (2005) — 1,916 citations
• Efficient Informative Sensing using Multiple Robots (2014) — 385 citations
• Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies (2008) — 548 citations