Optimal private density estimation for instances in the Wasserstein distance
Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein ...
Tag: Wasserstein
Estimating the optimal private density of instances in the Wasserstein distance
Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical contexts, the Wasserstein ...
Meet MedGAN: a deep learning model based on Wasserstein generative adversarial networks and graph convolutional networks for the design of novel molecules
The growing urgency of innovative medicines in various medical fields, such as antibiotics, cancer treatments, autoimmune disorders, and antiviral therapies, ...
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