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.
Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.