Author

Keemin Sohn

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#machine learning Preprint Oct 2026

A Decision-Focused Neural Optimization Framework for Personalized Route Reproduction from Vehicle Trajectories

This study formulates individual route reproduction as a shortest-path problem over learned driver-specific latent link costs. The central idea is that, once such latent costs are inferred from contextual information, observed routes can be reproduced without enumerating alternative route sets. We propose a neural pipe...

Gyeongjun Kim, Yeseul Kang, Keemin Sohn · 0 citations

Open access 2026

Physics-Informed Generative Modeling for Sparse OD Matrix Forecasting: A Dual-Head VAE-GMM Approach With a Single Time Step Input

This study proposes a novel, compact, physics-informed generative framework capable of forecasting transit demands using only a single historical time step as input, which successfully mitigates zero-inflation and performs significantly better than traditional parametric and deep-learning baselines.

Mark Mpabulungi, Chang-Hun Kang, Keemin Sohn et al. · IEEE Access · 0 citations