Samuel Stanton
Supélec(FR)University of Applied Sciences and Arts of Southern Switzerland(CH)Shandong University of Political Science and Law(CN)New York University(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Reinforcement Learning in Robotics, Gene Regulatory Network Analysis, Protein Structure and Dynamics, Distributed Control Multi-Agent Systems
Most-Cited Works
- → Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data(2020)73 cited
- → On the model-based stochastic value gradient for continuous reinforcement learning(2020)16 cited
- → Does Knowledge Distillation Really Work?(2021)11 cited
- → Kernel Interpolation for Scalable Online Gaussian Processes(2021)4 cited
- Generalizing Convolutional Networks for Equivariance to Lie Groups on Arbitrary Continuous Data.(2020)
- → Conditioning Sparse Variational Gaussian Processes for Online Decision-making(2021)2 cited
- → Robust Reinforcement Learning for Shifting Dynamics During Deployment(2021)