Adithyavairavan Murali
Control and Systems Engineering · 2014–2019
A researcher in the Science corpus: 5 papers; trusts 173 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 67 citations into it; #3,272 of 8,257 by trust here, #891 by citations
- Artificial Intelligence — 61 citations into it; #27,667 of 35,345 by trust here, #13,544 by citations
- Computer Vision and Pattern Recognition — 52 citations into it; #13,257 of 21,575 by trust here, #8,205 by citations
- Reinforcement Learning — 38 citations into it
- Biomedical Engineering — 32 citations into it
- Robotics & Control — 29 citations into it; #336 of 609 by trust here, #293 by citations
- Aerospace Engineering — 16 citations into it
- Human-Computer Interaction — 10 citations into it; #1,834 of 2,253 by trust here, #1,588 by citations
Whom Adithyavairavan Murali trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Lerrel Pinto
- Sergey Levine
- Geoffrey E. Hinton
- Diederik P. Kingma
- Abhinav Kumar Gupta
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
Who trusts Adithyavairavan Murali overall
- Devendra Singh Chaplot
- Abhishek Kadian
- Arsalan Mousavian
- Abhinav Kumar Gupta
- Christopher Xie
- Dhiraj Gandhi
- Santhosh K. Ramakrishnan
- Peter Karkus
- Martin Sundermeyer
- Dieter Fox
Papers from Adithyavairavan Murali's perspective
Ordered by how strongly the researchers Adithyavairavan Murali trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias (2018) — 166 citations
- 6-DOF Grasping for Target-driven Object Manipulation in Clutter (2019) — 238 citations
- CASSL: Curriculum Accelerated Self-Supervised Learning (2017) — 37 citations
- Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression (2014) — 84 citations
- PyRobot: An Open-source Robotics Framework for Research and Benchmarking (2019) — 118 citations