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Found 2 papers, 2 papers with code
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
To implement PaddingFlow, only the dimension of normalizing flows needs to be modified.
Ranked #1 on
Density Estimation
on MNIST
(MMD-L2 metric)
PPNet: A Two-Stage Neural Network for End-to-end Path Planning
The results show that PPNet can find a near-optimal solution in 15. 3ms, which is much shorter than the state-of-the-art path planners.
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