清华大学智能视觉团队和快手可灵团队联合推出《Latent Diffusion Model without Variational Autoencoder》与近期爆火的谢赛宁团队 RAE 工作不谋而合，但在总体设计思路与研究重点上有所差异。

Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ultrafast spintronics and advancing systematic discovery of magnetic ...

Merck & Co. has doubled down on its partnership with Variational AI, striking a deal worth up to $349 million to collaborate on small molecule candidates against two targets. Variational disclosed a ...

Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.

Abstract: In this paper we present a new implementation of a Variational Autoencoder (VAE) for the calibration of sensors. We propose that the VAE can be used to calibrate sensor data by training the ...

Abstract: Variational Autoencoder(VAE) combines the ideas of autoencoders and variational inference, introducing the concept of latent space and variational inference to endow autoencoders to generate ...

This repository contains the code accompanying the paper: "Adversarial Disentanglement by Backpropagation with Physics-Informed Variational Autoencoder". The pre ...

Due to a production error, there was an error regarding the affiliation for Somayeh Makouei. Instead of having affiliation 2, they should have affiliation 1 ...

Introduction: Wireless Sensor Networks (WSNs) play a critical role in the development of sustainable and intelligent smart city infrastructures, enabling data-driven services such as smart mobility, ...