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College of Electronics and Information Engineering, Shenzhen University
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Achieving up to 3.68x faster inference and 5.12x fewer FLOPs, ChebBooster redefines efficiency in Diffusion Transformers without the need for additional training.
Traditional mutation analysis falls short in DL-enabled robotic software, but UAMTERS injects stochastic uncertainty to reveal critical failure modes that would otherwise go undetected.
