PA-PINPF adds Deep Sets population encoders (state or feature) to PINPF for better Bayesian posterior particle transport on range-measurement and TDOA tasks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Filtering algorithms reconstruct trajectories of in-silico particles in a stirred tank reactor from noisy IMU data with errors below 10%.
citing papers explorer
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Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update
PA-PINPF adds Deep Sets population encoders (state or feature) to PINPF for better Bayesian posterior particle transport on range-measurement and TDOA tasks.
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Tracking in-silico Lagrangian sensors in a lab-scale stirred tank reactor
Filtering algorithms reconstruct trajectories of in-silico particles in a stirred tank reactor from noisy IMU data with errors below 10%.