Avinash Kumar

Artificial Intelligence · with Bahl · 2012–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #20,723 of 35,345 by trust here, #16,166 by citations
• Reinforcement Learning — 20 citations into it
• Control and Systems Engineering — 13 citations into it

Whom Avinash Kumar trusts overall

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

1. Sergey Levine
2. Jan Peters
3. John MacCormick
4. Arnaud Doucet
5. Neil J. Gordon

Who trusts Avinash Kumar overall

1. A. Erentok
2. Zlatko Drmac
3. Luciana W. da Silva

Papers from Avinash Kumar's perspective

Ordered by how strongly the researchers Avinash Kumar 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. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
4. MuJoCo: A physics engine for model-based control
5. End-to-End Training of Deep Visuomotor Policies
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Residual Reinforcement Learning for Robot Control (2018) — 624 citations
• A Novel Stastical Particle Filtering Approach for Non- Linear and Non-Gaussian System Identification (2012) — 706 citations