Sachin Patil

Control and Systems Engineering · 2014–2015

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 37 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 25 citations into it
• Biomedical Engineering — 16 citations into it
• Reinforcement Learning — 14 citations into it
• Robotics & Control — 13 citations into it

Whom Sachin Patil trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yuval Tassa
4. Antonio Torralba
5. Pieter Abbeel
6. Ilya Sutskever
7. Richard S. Sutton
8. Yann LeCun
9. Rob Fergus
10. Jia Deng

Who trusts Sachin Patil overall

1. Kelsey R. Allen
2. Pawel Ladosz

Papers from Sachin Patil's perspective

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

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

Their papers

• Model-based reinforcement learning with parametrized physical models and optimism-driven exploration (2015) — 53 citations
• Motion planning with sequential convex optimization and convex collision checking (2014) — 1,002 citations
• Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression (2014) — 84 citations
• Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor (2014)