2 citations · 5 across the 6 of their papers we have counts for
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Conditional Mean Flows: Few-Step Densities for Simulation-Based Inference
Jonas Arruda, Jan Hasenauer, Stefan T. Radev
Flow matching has emerged as a powerful generative family for simulation-based inference (SBI). However, sampling and density evaluation require numerical integration at inference…
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
Jonas Arruda, Sophie Chervet, Paula Staudt +6
Selection bias arises when the probability that an observation enters a dataset depends on variables related to the quantities of interest, leading to systematic distortions in est…
Diffusion Models in Simulation-Based Inference: A Tutorial Review
Jonas Arruda, Niels Bracher, Ullrich Köthe +2
Diffusion models have recently emerged as powerful learners for simulation-based inference (SBI), enabling fast and accurate estimation of latent parameters from simulated and real…