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Variational modeling is highlighted as a complementary approach to robust long-horizon neural PDE dynamics by introducing latent Markov dynamics, which combines spatially resolved latent fields, structured Gaussian perturbations, and a neural-operator transition.
The proposed framework can substantially reduce exhaustive protocol testing while enabling task-based, dose-aware protocol selection before the diagnostic scan and shows that the proposed framework can substantially reduce exhaustive protocol testing while enabling task-based, dose-aware protocol selection before the d...
A model-agnostic framework for assortment optimization based on guided discrete diffusion that represents assortments as binary vectors and performs stochastic search via a learned reverse diffusion process, avoiding explicit combinatorial enumeration.
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