vae

"通过使用 VAE，我们从社会、政治、经济和营销数据中构建战略空间的流形，从噪声数据中获得平滑的潜在空间，并在此空间上执行微分几何和控制工程模拟。"

""RAEs consistently outperform VAEs during pretraining across all model scales. Further, during finetuning on high-quality datasets, VAE-based models catastrophically overfit after 64 epochs, while RAE models remain stable through 256 epochs and achieve consistently better performance.""

"Variational autoencoders (VAEs) are known as image generation models, but can also be used for 'image correction tasks' such as inpainting and noise removal."

"The study focuses on the environmental dependence of Type Ia Supernovae in low-metallicity host galaxies."

"The paper is available on ArXiv."