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Naoki Murata

2 papers indexed

arxivcs.LGcs.AI2026-07-10

From Atoms to Entropy: Optimal Noise Allocation for Diffusion Training in the Convex Regime

Luca Ambrogioni, Giulio Franzese, Alberto Foresti, Gabriel Raya, Bac Nguyen, Georgios Batzolis, et al.

How should a diffusion model decide which noise levels to train on, and how much? Despite the importance of this choice, current noise schedules are based largely on heuristics or empirical tuning. Here, we develop a general statistical framework for studying asymptotically optim…

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arxivcs.LGcs.AIcs.CV2026-07-07

TILDE: TILt-based Distributional Erasure for Concept Unlearning

Naveen George, Naoki Murata, Yuhta Takida, Konda Reddy Mopuri, Yuki Mitsufuji

Concept unlearning in text-to-image diffusion models is critical for safe and practical deployment: with rising privacy concerns, copyright disputes, trademark constraints, and safety regulations, deployed systems must be able to suppress unwanted concepts after training. Existin…

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