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Repulsive normalizing flow mixtures for adaptive importance sampling: reliability analysis of complex systems

arXiv:2609.21160v1 Announce Type: cross Abstract: Accurate rare-event estimation can be computationally expensive. Classical adaptive importance sampling (IS) schemes often rely on restrictive proposal families and can struggle under multiple failure modes. We propose FAMIS, a flow-based multiple i…

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  1. 2026-09-21 04:00 · arXiv stat.ML
    Repulsive normalizing flow mixtures for adaptive importance sampling: reliability analysis of complex systems

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