Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Abstract: Tracking inertia in real-time has emerged as a crucial topic for the modern low-inertia power system. However, in practice, large disturbances are infrequent, posing a challenge for routine ...

Abstract: The Bayesian network (BN) method has been identified as a research hotspot in dynamic risk assessment (DRA) for systems. The traditional BN inference process relies on crisp probabilities; ...