AI RESEARCH
BLADE: Bayesian Langevin Active Discovery with Replica Exchange for Identification of Complex Systems
arXiv CS.LG
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ArXi:2503.02983v2 Announce Type: replace-cross Traditional methods for system discovery frequently struggle with efficient data usage and uncertainty quantification. Identifying the governing equations of complex dynamical systems from data presents a significant challenge in scientific discovery, especially when high-quality measurements are scarce and expensive to obtain.