Abstract: Diffusion model-based approaches recently achieved remarkable success in MRI reconstruction, but integration into clinical routine remains challenging due to its time-consuming convergence.
Hyperspectral images (HSIs) have extensive applications in various fields such as medicine, agriculture, and industry. Nevertheless, acquiring high signal-to-noise ratio HSI poses a challenge due to ...
AI Features Face-Off The smartphone market in 2026 is defined not by camera megapixels or processor clock speeds, but by the ...
Given a text-to-image diffusion model pretrained on large-scale text-image pairs, can we align the model with human pReferences without further fine-tuning? In this paper, we analyze the effect of ...
Remepy, a pioneer in Hybrid Drugstm, today announced the publication of new mechanistic findings in npj Parkinson's Disease (Nature Portfolio). The study provides insight, for the first time, into how ...
A modern personal injury case is won or lost long before anyone enters a courtroom. The decisive work now happens in data: ...
SAEmnesia attaches a Sparse Autoencoder after the up.1.1 cross-attention block of a frozen Stable Diffusion v1.5. To solve the issue where "unsupervised SAEs spread a concept across multiple latents," ...
AI researchers (Tuckute et al., 2024) showed that a GPT-based encoding model could predict, and then deliberately drive or suppress, activation in human language networks —sentences the model rated as ...
Correspondence to Dr Anna Nordström, Department of Surgical and Perioperative Sciences, Sports Medicine, Umeå University, Umeå 901 85, Sweden; anna.nordstrom{at}idrott.umu.se Background Little is ...
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors ...
NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of ...
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