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cs.AI2026
Grab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives
Hua, Xu, Dongxin Li +4
Discrete diffusion models generate sequences by iteratively resolving multiple tokens in parallel, offering a flexible alternative to left-to-right generation. However, guiding thi…
cs.AI2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference
Guy Van den Broeck, Adnan Darwiche
Lifted inference algorithms exploit symmetries in probabilistic models to speed up inference. They show impressive performance when calculating unconditional probabilities in relat…