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2024 ICML ICML 2024

An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Jonas Arruda, Yannik Schälte, Clemens Peiter, Olga Teplytska, Ulrich Jaehde, Jan Hasenauer

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Application Areas > Efficient Computing Deep Learning > Models > Generative Models

Keywords

amortized inference neural posterior estimation conditional normalizing flow population parameter simulation non-linear mixed-effects models
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