Litu Rout

This paper proposes a constrained posterior sampling approach for time series generation with hard constraints.

We propose the Anchored Diffusion Language Model (ADLM), a novel two-stage framework that generates an important token mixture which guides the prediction of missing likelihoods, resulting in better likelihood modeling and generated text quality.