Parameswaran Kamalaruban
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Reinforcement Learning — 48 citations into it
- Electrical and Electronic Engineering — 15 citations into it
- Control and Systems Engineering — 14 citations into it
- Computational Theory and Mathematics — 12 citations into it
- Management Science and Operations Research — 10 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Optimization & Training — 7 citations into it
Whom Parameswaran Kamalaruban trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Dimitri P. Bertsekas
- Martin A. Riedmiller
- Martin L. Puterman
- Sergey Levine
- Andrew Barto
- Geoffrey E. Hinton
- Volodymyr Mnih
- David Silver
- Radford M. Neal
Who trusts Parameswaran Kamalaruban overall
Papers from Parameswaran Kamalaruban's perspective
Ordered by how strongly the researchers Parameswaran Kamalaruban 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Human-level control through deep reinforcement learning
Their papers
- Applications of reinforcement learning in energy systems (2021) — 358 citations
- Consistent Robust Regression (2017) — 105 citations