PRIM is a meta-learned Bayesian RCA method that marginalizes structural uncertainty via a MACE transformer neural process for zero-shot inference on systems up to 100 variables.
A sustainability root cause analysis methodology and its application.Computers & chemical engineering, 35 (12):2786–2798
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PRIM: Meta-Learned Bayesian Root Cause Analysis
PRIM is a meta-learned Bayesian RCA method that marginalizes structural uncertainty via a MACE transformer neural process for zero-shot inference on systems up to 100 variables.