Sicun Gao
Artificial Intelligence · 2013–2022
A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #32,225 of 35,345 by trust here, #31,361 by citations
- Control and Systems Engineering — 23 citations into it; #7,462 of 8,257 by trust here, #6,764 by citations
- Computer Vision and Pattern Recognition — 20 citations into it
- Reinforcement Learning — 18 citations into it
- Computational Theory and Mathematics — 11 citations into it; #11,089 of 12,182 by trust here, #9,306 by citations
- Automotive Engineering — 7 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Sicun Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dejan Jovanovic
- Matthias Althoff
- Yinlam Chow
- Felix Berkenkamp
- Aaron D. Ames
- Leonardo de Moura
- Peter Giesl
- Tim Allan Wheeler
- Diederik P. Kingma
- Ya-Chien Chang
Who trusts Sicun Gao overall
Papers from Sicun Gao's perspective
Ordered by how strongly the researchers Sicun Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Trust Region Policy Optimization (International Conference on Machine Learning)
- Proximal Policy Optimization Algorithms (arXiv.org)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- MuJoCo: A physics engine for model-based control
- Reinforcement Learning: An Introduction
Their papers
- dReal: An SMT Solver for Nonlinear Theories over the Reals (2013) — 512 citations
- Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control (2022) — 405 citations
- Neural Lyapunov Control (2020) — 413 citations
- How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? (2019) — 60 citations
- APEX: Autonomous Vehicle Plan Verification and Execution (2016) — 44 citations