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Event generation and statistical sampling for physics with deep generative models and a density information buffer | Nature Communications
arxiv on Twitter: "Kernel Change-point Detection with Auxiliary Deep Generative Models. https://t.co/IS6yVDKfNb https://t.co/Y8TrR0iQm2" / Twitter
![A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences - ScienceDirect A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2405471220301927-fx1.jpg)
A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences - ScienceDirect
GitHub - musyoku/adgm: Chainer implementation of Auxiliary Deep Generative Models (ADGM) and Skip Deep Generative Model (SDGM)
GitHub - larsmaaloee/auxiliary-deep-generative-models: Deep generative models for semi-supervised learning.
Elham Azizi on Twitter: "We are thrilled to share #Starfysh ⭐️ an auxiliary deep generative model for multi-modal analysis and integration of spatial transcriptomic (ST) datasets and histology images, and its application
![Combining deep generative and discriminative models for Bayesian semi-supervised learning - ScienceDirect Combining deep generative and discriminative models for Bayesian semi-supervised learning - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S003132031930456X-gr2.jpg)