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20232026
most citedSimulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation

2 citations · 4 across the 8 of their papers we have counts for

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cs.LG2023

Diffusion models for probabilistic programming

Simon Dirmeier, Fernando Perez-Cruz

We propose Diffusion Model Variational Inference (DMVI), a novel method for automated approximate inference in probabilistic programming languages (PPLs). DMVI utilizes diffusion m…

cs.LG2023★ 1 cited

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows

Simon Dirmeier, Ye Hong, Yanan Xin +1

Reliable quantification of epistemic and aleatoric uncertainty is of crucial importance in applications where models are trained in one environment but applied to multiple differen…