Vijaykumar Gullapalli

1990–1995

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Whom Vijaykumar Gullapalli trusts overall

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

1. Andrew Barto
2. Geoffrey E. Hinton
3. David E. Rumelhart
4. Richard S. Sutton
5. James S. Albus
6. Michael A. Arbib
7. P. Anandan

Who trusts Vijaykumar Gullapalli overall

1. Ronald J. Williams
2. Jan Peters
3. Kenji Doya
4. Stefan Schaal
5. Michael Fairbank
6. Ivo Grondman
7. Sergey Levine
8. Pawel Wawrzynski
9. Hamid Benbrahim
10. Chelsea Finn

Papers from Vijaykumar Gullapalli's perspective

Ordered by how strongly the researchers Vijaykumar Gullapalli trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Human-level control through deep reinforcement learning

Their papers

• Skillful control under uncertainty via direct reinforcement learning (1995)
• Acquiring robot skills via reinforcement learning (1994)
• A stochastic reinforcement learning algorithm for learning real-valued functions (1990)