️Flow matching is a recent state-of-the-art framework for generative modeling based on ordinary differential equations (ODEs). While closely related to diffusion models, it provides a more general ...

Abstract: Existing diffusion-based methods for inverse problems sample from the posterior using score functions and accept the generated random samples as solutions. In applications that posterior ...

Abstract: Diffusion models have recently achieved success in solving Bayesian inverse problems with learned data priors. Current methods build on top of the diffusion sampling process, where each ...

This repository contains implementations of both conditional diffusion models for 1D data generation, built with PyTorch. The models are designed to solve inverse design scattering problems. The ...

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension with complex math concepts, making them a common hurdle for students. The good ...

Consumers trashed enough clothing last year-120 million metric tons, to be exact-to fill over 200 Olympic stadiums. About 80 percent of discarded textiles were landfilled or incinerated in 2024, with ...

Most companies think their onboarding problem is a content problem. It isn't. It's a structure problem. The information exists. It's just scattered across ...

Halve, between 1990 and 2015, the proportion of people whose income is less than $1.25 a day The target of reducing extreme poverty rates by half was met five years ahead of the 2015 deadline. More ...

The internet is taking China by storm, with millions of people logging on in record numbers and web cafes busier than ever. Internet addiction is reaching epidemic proportions in China Rising personal ...