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Department of Industrial Engineering and Management Sciences, Northwestern University. Email:
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Traditional diffusion models fail to capture temporal dependencies, but this new framework generates realistic sequential data without anticipating future information.
Forget retraining: this method adapts diffusion models to new tasks *without any training*, using a clever trick based on Doob's h-transform.
