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Author

Jia-Ru Zhang

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Preprint Aug 2026

Neural-Bayesian Structure Learning for Discrete Choice Modeling

Conventional discrete choice and machine learning models are estimated primarily from observational data and typically treat explanatory covariates as parallel inputs, providing no internal mechanism for determining how related attributes should adjust when one is deliberately changed. This paper proposes Neural-Bayesi...

Hyun-Ah Yun, Eun Hak Lee, Jia-Ru Zhang et al. · 0 citations
Preprint Sep 2026

Designing Versatile Samples for Learned Trajectory Scoring

This work designs a training dataset that provides more informative supervision for the scorer and constructs two generators that perturb the logged human trajectory along the two axes a vehicle can be displaced: laterally toward the drivable boundary and longitudinally toward a leading vehicle.

Ya-Guang Li, Jia-Ru Zhang, Chu-Heng Wei et al. · 0 citations

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