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Apoorv Srivastava

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#machine learning Preprint Sep 2026

Learning to Bias: Machine Learning-Enhanced Particle Filters

Sequential inference estimates latent states from noisy and incomplete observations. Particle Filters (PFs), a class of Monte Carlo methods based on importance sampling, provide a flexible framework for this task, but often suffer from poor sample efficiency and unfavorable scaling with dimension, partly due to subopti...

Apoorv Srivastava, Eric F. Darve · 0 citations