Likely Interpolants of Generative Models
PositiveArtificial Intelligence
A new paper on arXiv introduces a groundbreaking interpolation scheme for generative models, addressing a significant gap in the field. This development is crucial as it enables controlled generation and model inspection, which can enhance the understanding and application of generative models across various domains. By targeting likely transition paths that align with different metrics and probability distributions, this research paves the way for more robust and flexible generative modeling techniques.
— Curated by the World Pulse Now AI Editorial System


