e046ede63264b10130007afca077877f-AuthorFeedback.pdf
–Neural Information Processing Systems
We answer major comments from each reviewer below; we'll fix the minor ones. REVIEWER 1: "This paper ranks high in novelty...The experimental results are strong, especially on T ext Some important details are unclear . E.g. what is the base distribution for sampling? REVIEWER 2: "Originality: This paper is the first demonstration of flow-based models to discrete data. As such, the work is fairly novel....That being said, the main technical contribution amounts to...on top of the We agree about simplicity being a benefit.
Neural Information Processing Systems
Nov-19-2025, 06:42:43 GMT
- Technology: