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Amortized Bayesian inference gets a new method using energy-based transport, which can handle nonlinear inverse problems with unknown functions. This could improve inference in complex systems. We still don't know how it holds up outside the benchmark.
“arXiv:2605.15407v3 Announce Type: replace-cross Abstract: We consider amortized Bayesian inference for nonlinear inverse problems using only samples from the joint distribution of parameters and observations, including problems with unknown…”
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ENTITY
Energy-based Transport, arXiv
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 3, 2026