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cs.LG2024
Informed Correctors for Discrete Diffusion Models
Yixiu Zhao, Jiaxin Shi, Feng Chen +3
Discrete diffusion has emerged as a powerful framework for generative modeling in discrete domains, yet efficiently sampling from these models remains challenging. Existing samplin…
stat.ML2024
Debiased Distribution Compression
Lingxiao Li, Raaz Dwivedi, Lester Mackey
Modern compression methods can summarize a target distribution more succinctly than i.i.d. sampling but require access to a low-bias input sequence like a Markov chain…