Diffusion sampling from d-dimensional distributions requires at least ~sqrt(d) adaptive score queries when score estimates have polynomial accuracy.
Improved analysis of score-based gen- erative modeling: User-friendly bounds under minimal smoothness assumptions
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A trial of the ROAR protocol shows a multi-agent system using forkable statistical microservices with economic self-interest for micro-predictions, with lessons reported and a Prediction Web suggested.
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Query Lower Bounds for Diffusion Sampling
Diffusion sampling from d-dimensional distributions requires at least ~sqrt(d) adaptive score queries when score estimates have polynomial accuracy.
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Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol
A trial of the ROAR protocol shows a multi-agent system using forkable statistical microservices with economic self-interest for micro-predictions, with lessons reported and a Prediction Web suggested.