FlowSDR is a likelihood-based SDR method that parameterizes the conditional density with monotone rational-quadratic spline flows and recovers the central subspace more accurately than prior methods in the reported simulations.
arXiv preprint arXiv:2512.18971 , year=
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FlowSDR: Sufficient Dimension Reduction via Conditional Normalizing Flows
FlowSDR is a likelihood-based SDR method that parameterizes the conditional density with monotone rational-quadratic spline flows and recovers the central subspace more accurately than prior methods in the reported simulations.