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most citedA Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering

1 citations · 1 across the 9 of their papers we have counts for

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stat.ML2025

Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals

Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer

Importance sampling is a Monte Carlo technique for efficiently estimating the likelihood of rare events by biasing the sampling distribution towards the rare event of interest. By…

cs.RO2025

Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows

Liam A. Kruse, Alexandros E. Tzikas, Harrison Delecki +2

Importance sampling is a rare event simulation technique used in Monte Carlo simulations to bias the sampling distribution towards the rare event of interest. By assigning appropri…