Boltzmann Generators, a machine learning method, generate equilibrium samples of molecular systems by learning a transformation from a simple prior distribution to the target Boltzmann distribution ...

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Abstract: In AI-driven medical imaging, the failure to detect out-of-distribution (OOD) data poses a severe risk to clinical reliability, potentially leading to critical diagnostic errors. Current OOD ...

Abstract: Accurate and uncertainty-aware prediction of the remaining useful life (RUL) of ball bearings is crucial for reliable condition-based maintenance, yet real run-to-failure data are scarce, ...