3 papers
stat.ML2026★ 2 cited
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…
stat.CO2026
NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia
Manuel Huth, Jonas Arruda, Nina Schmid +4
Nonlinear mixed-effects models are widely used to analyze longitudinal data, but existing open-source software often supports only a limited subset of the model structures, inferen…
q-bio.QM2026
Compositional amortized inference for large-scale hierarchical Bayesian models
Jonas Arruda, Vikas Pandey, Catherine Sherry +4
Amortized Bayesian inference (ABI) with neural networks has emerged as a powerful simulation-based approach for estimating complex mechanistic models. However, extending ABI to hie…