Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.

Abstract: Real-world point clouds exhibit non-uniform density distributions, varying across distance and scale. Conventional upsampling methods typically treat points homogeneously, which over-smooths ...

Entity matching (EM) aims to identify whether two entities from different data sources refer to the same real-world entity. Most existing cross-modal EM assume that images have simple scenes ...