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SinAE achieves near-lossless reconstruction across diverse atomic systems, drastically improving generative performance while simplifying the architecture.
Hard-assigned predictors in MoP-JEPA enable accurate planning in stochastic environments, achieving up to 42 times better performance than traditional methods.
