Excitons are pairs of bound negatively charged electrons and positively charged holes that form in semiconductors, enabling ...

The history of human progress is, in many ways, the history of technology’s diffusion. Among these advances, a few—what economists call general-purpose technologies—have had the greatest impact on ...

Abstract: Diffusion models are a type of generative deep learning model that can process medical images more efficiently than traditional generative models. They have been applied to several medical ...

Diffusion policy exhibits promising multimodal property and distributional expressivity in robotic field, while not ready for real-time end-to-end autonomous driving in more dynamic and open-world ...

Abstract: Task-oriented semantic communications (ToSC) has received significant attention as a promising paradigm for realizing more efficient and intelligent data services. However, ToSC systems ...

We address a fundamental question: Can latent diffusion models and their VAE tokenizer be trained end-to-end? While training both components jointly with standard diffusion loss is observed to be ...