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This work shows numerically how FM and OT can differ in routing while remaining close in cost, and constructs a routing-aware training coupling that yields a directionally consistent improvement in generation over a cost-matched, cost-only counterpart.
A forensic-preserving neural audio codec (FP-NAC), which fine-tunes a pretrained codec using a detector-guided objective while preserving its native hard quantization path and bitrate, and highlights forensic transparency as a codec design objective alongside perceptual quality.
This work introduces DRIFT (Denoising Redirection via Input perturbation of the Flow-matching Trajectory), a test-time universal adversarial patch placed on the robot's gripper that attacks the denoising velocity field of an off-the-shelf policy.
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