![Protein design and variant prediction using autoregressive generative models | Nature Communications Protein design and variant prediction using autoregressive generative models | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-22732-w/MediaObjects/41467_2021_22732_Fig1_HTML.png)
Protein design and variant prediction using autoregressive generative models | Nature Communications
![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)
Combining deep generative and discriminative models for Bayesian semi-supervised learning - ScienceDirect
![CS224W: Machine Learning with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs - YouTube CS224W: Machine Learning with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs - YouTube](https://i.ytimg.com/vi/IMpkHvQ0LA4/hqdefault.jpg?sqp=-oaymwEWCKgBEF5IWvKriqkDCQgBFQAAiEIYAQ==&rs=AOn4CLBLMaAAvG65YEvBGFN4LpWGdREMXg)
CS224W: Machine Learning with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs - YouTube
Live from ICML 2019 in Long Beach, this session on Deep Generative Models includes paper presentations: • State-Reification Networks: Improving... | By International Conference on Machine Learning | Facebook
![Deep learning for molecular design—a review of the state of the art - Molecular Systems Design & Engineering (RSC Publishing) DOI:10.1039/C9ME00039A Deep learning for molecular design—a review of the state of the art - Molecular Systems Design & Engineering (RSC Publishing) DOI:10.1039/C9ME00039A](https://pubs.rsc.org/image/article/2019/ME/c9me00039a/c9me00039a-f1_hi-res.gif)