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University of Michigan, Ohio State University
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Invariance in diffusion models peaks at intermediate noise levels, revealing a critical link between representation quality and classification performance.
Segment-level explainable forensics can drastically enhance our ability to detect and interpret localized manipulations in lengthy AI-generated videos.
Humanoid robots can now nimbly carry loads in industrial environments thanks to a reinforcement learning approach that learns stable locomotion without needing real-world fine-tuning.
