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Found 4 papers, 2 papers with code
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
We propose a novel probabilistic framework for modeling stochastic dynamics with the rigorous use of stochastic optimal control theory.
Wasserstein Distributional Normalization
We propose a novel Wasserstein distributional normalization (WDN) algorithm to handle noisy labels for accurate classification.
Sphere Generative Adversarial Network Based on Geometric Moment Matching
We propose sphere generative adversarial network (GAN), a novel integral probability metric (IPM)-based GAN.
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
In this paper, we propose a novel generative adversarial network (GAN) for 3D point clouds generation, which is called tree-GAN.
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