vae

"VAEを使用することで、社会、政治経済、マーケティングデータから戦略空間の多様体を構築し、ノイズの多いデータから滑らかな潜在空間を得て、その空間上で微分幾何学と制御工学シミュレーションを行います。"

""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."