Conditioning non-linear and infinite-dimensional diffusion processes
–Neural Information Processing Systems
Generative diffusion models and many stochastic models in science and engineering naturally live in infinite dimensions before discretisation. To incorporate observed data for statistical and learning tasks, one needs to condition on observations. While recent work has treated conditioning linear processes in infinite dimensions, conditioning non-linear processes in infinite dimensions has not been explored.
Neural Information Processing Systems
May-28-2025, 13:07:23 GMT
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