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Found 3 papers, 1 papers with code
nach0: Multimodal Natural and Chemical Languages Foundation Model
Large Language Models (LLMs) have substantially driven scientific progress in various domains, and many papers have demonstrated their ability to tackle complex problems with creative solutions.
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
We propose a hierarchical normalizing flow model for generating molecular graphs.
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Previous works show that the richer family of prior distributions may help to avoid the mode collapse problem in GANs and to improve the evidence lower bound in VAEs.
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