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Yiwei Shen

2 accepted papers

2025

A Kinematic Constrained Batch Informed Trees Algorithm With Varied Density Sampling for Mobile Robot Path Planning

RA-L 2025

we proposed a novel Kinematic Batch Informed Trees algorithm (K-BIT*) to solve problems of the low efficiency, poor geometric smoothness and local optimum when conducting path planning for mobile robots. A variable density sampling strategy is designed which can automatically adjust the searching ra

Cited by 3SourceScholar
2020

Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model

NeurIPS 2020poster

This paper studies two-layers Neural Networks (NN), where the first layer contains random weights, and the second layer is trained using Ridge regularization. This model has been the focus of numerous recent works, showing that despite its simplicity, it captures some of the empirically observed beh…

Cited by 2SourcePDFScholar