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J. Arruda

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Open access Oct 2026

Wastewater-informed neural compartmental model for long-horizon case number estimation

Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, but converting these signals into actionable epidemiological insights remains difficult. Mechanistic models offer interpretability, yet assumptions such as a constant transmission rate limit realism over long simulation ho...

Nina Schmid, Nicole Zacharias, Christoph Höser et al. · 0 citations
#machine learning Review Dec 2025

Diffusion Models in Simulation-Based Inference: A Tutorial Review

This tutorial review synthesizes recent developments on diffusion models for SBI, covering design choices for training, inference, and evaluation, and highlights opportunities created by various concepts such as guidance, score composition, flow matching, consistency models, and joint modeling.

J. Arruda, Niels Bracher, Ullrich Köthe et al. · 12 citations
#software testing Open access Aug 2026

MEmilio: a high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics

MEmilio is a modular, high-performance framework for epidemic simulation that harmonizes the specification and execution of diverse dynamic epidemiological models within a unified and harmonized architecture, and aims to lower barriers to reuse and generalize models, enable principled comparisons of implicit assumption...

Julia Bicker, Carlotta Gerstein, David Kerkmann et al. · 0 citations

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