The increasing automation in the design process of electrical machines for vehicles generates huge amounts of data, leading to a growing interest in using machine learning for faster predictions and ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...

In this paper, a signal-guided masked autoencoder (S-MAE) based semi-supervised learning framework is proposed for high-precision positioning with limited labeled channel impulse response (CIR) ...

Microsoft PowerPoint provides live captioning and translated subtitling of a teacher’s lectures in many languages including English. These subtitles enable deaf or hard of hearing students and ...

Description: I'm working on training EVA-VLIP + SDXL as a visual autoencoder using the LAION-COCO dataset from Hugging Face. I've noticed that: The dataset contains parquet files with image URLs and ...