Alejandro Ribeiro
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126
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ML×1AI×1Optimization and Control×1Stats ML×1
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2026
Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
The paper proposes a unified, constrained optimization framework using KL divergence and likelihood constraints to achieve effective and principled unlearning in diffusion models.
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