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cs.LG2023★ 9 cited
Flow Matching for Scalable Simulation-Based Inference
Maximilian Dax, Jonas Wildberger, Simon Buchholz +3
Neural posterior estimation methods based on discrete normalizing flows have become established tools for simulation-based inference (SBI), but scaling them to high-dimensional pro…
cs.LG2021★ 1 cited
Group equivariant neural posterior estimation
Maximilian Dax, Stephen R. Green, Jonathan Gair +3
Simulation-based inference with conditional neural density estimators is a powerful approach to solving inverse problems in science. However, these methods typically treat the unde…