New framework helps climate modelers integrate Indigenous community input into simulations

Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...
IEEE

Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation

Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...