Generalizes neural transport methods for free energy estimation to any state space with added algebraic and group-theoretic results on time reversal and h-transforms.
arXiv preprint arXiv:2502.10328 , year=
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Bayesian inverse problem with diffusion model priors for CML-based rain field reconstruction outperforms baselines by preserving rainfall statistics better than Gaussian processes.
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Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
Bayesian inverse problem with diffusion model priors for CML-based rain field reconstruction outperforms baselines by preserving rainfall statistics better than Gaussian processes.