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Reweighted normalizing flows enable exponential convergence to arbitrary Boltzmann distributions via a novel WFR JKO scheme, bypassing common structural assumptions.
Unpaired data can be leveraged to achieve state-of-the-art performance in solving complex inverse problems, challenging the reliance on paired datasets.
