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Experimental results and decoupling ablations demonstrate that SANI consistently improves Fr\'echet Inception Distance (FID) over the vanilla DDPM and DDIM endpoint samplers across diverse sampling timesteps, while remaining competitive with variance-learning baselines, highlighting the importance of spatial adaptivity...
Generating crystals has recently attracted significant interest due to their broad applications in materials science. However, existing generative models struggle to produce complete crystallographic specifications, limiting their ability to capture global symmetry and structural dependencies. In particular, current st...
Climate Physics Dynamic Matching is presented, a variational simulation-free dynamics informed framework for weather forecasting that combines an advection-type physics prior with data-driven components in a variational framework to capture the stochasticity and multi-modality of unresolved atmospheric dynamics.
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