Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a ...

The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...

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One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, ...

Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink to spread through water. Ask DALL·E 2, an image generation system created by OpenAI, ...

Stable Diffusion, a deep learning, text-to-image model, has been making waves since its release in 2022. Developed by the CompVis group at LMU Munich, Stable Diffusion is based on a unique diffusion ...

Membership Inference Authors, Creators & Presenters: Yan Pang (University of Virginia), Tianhao Wang (University of Virginia) PAPER Black-box Membership Inference Attacks against Fine-tuned Diffusion ...