I had thought problem sets were only for STEM courses, with the notable exception of economics. But despite my initial ...

Abstract: This paper presents CQT-Diff, a data-driven generative audio model that can, once trained, be used for solving various different audio inverse problems in a problem-agnostic setting.

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 ...

Join us, October 26, 27 and 28, 2022, for our new lecture series named after Vladimir Marchenko, a Ukrainian mathematician who specializes in mathematical physics. Marchenko's seminal contributions to ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The Drake Municipal Observatory has helped the general public enjoy the wonders of space from Des Moines for more than a century. Throughout its existence, Drake astronomy professors have led the ...

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...

The U.S. Department of Homeland Security can designate nationals from a given country as eligible for Temporary Protected Status (TPS) when certain conditions apply -- such as an on-going civil war or ...

Abstract: In recent years, there has been notable progress in the development of inverse problems for image reconstruction in pulse-echo ultrasound. Inverse problems are designed to circumvent the ...

How do you create a VR world that is both convincing and also unreal? 3 Body’s Derek Tsang has the answer. Mild spoilers for 3 Body Problem ahead. “We didn’t shoot outside, and we didn’t use the ...