Abstract: Recent diffusion models provide a promising zero-shot solution to noisy linear inverse problems without retraining for specific inverse problems. In this paper, we reveal that recent methods ...

This may come as a shock, but it turns out that an astounding proportion of AI search results are flat-out incorrect, according to a new study published by the Columbia Journalism Review. We hope you ...

Latent diffusion models have been demonstrated to generate high-quality images, while offering efficiency in model training compared to diffusion models operating in the pixel space. However, ...

Astronomers just mapped, in great detail, a galactic burp. In a new study out today in the journal Monthly Notices of the Royal Astronomical Society, researchers created a high-resolution map of ...

#1 Publication focused exclusively on Interpolation, ie determining value from the existing values in a given data set. #1 Publication focused exclusively on Interpolation, ie determining value from ...

Geophysical inverse problems face a lot of issues to be solved, e.g., data noise problems: the general data records contain a lot of noise due to various factors in the excitation, propagation and ...

Abstract: In this paper, the inverse eigenvalue problem[1] of a class of special matrix with proportional relationship is studied. Through two given characteristic pairs, the characteristics of the ...