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 ...

Abstract: Taking several topic words and a math expression as input, the aim of math word problem generation is to generate a problem that can be answered by the given expression and related to these ...

Much of mathematics involves so-called forward problems. These problems begin with a model of a physical system — say, a ball rolling down an incline plane — and researchers use parameters, such as ...

Do you sense something problematic about the word “problematic”? The way it’s used has changed a great deal in recent years, so much that it can now seem a little shifty. The journey that brought us ...

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...

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 ...

Abstract: Cardiac digital twins (CDTs) are personalized virtual representations used to understand complex cardiac mechanisms. A critical component of CDT development is solving the ECG inverse ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now By now, large language models (LLMs) like ...

I'm trying to solve an inverse problem to obtain two parameter values, a and b. I want the initial condition at time t=0 to fulfill a relation, e.g. x_t0 = a/b. Since I have to initialize a and b as ...