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cs.LG2025
Workplace Location Choice Model based on Deep Neural Network
Tanay Rastogi, Anders Karlström
Discrete choice models (DCMs) have long been used to analyze workplace location decisions, but they face challenges in accurately mirroring individual decision-making processes. Th…
cs.LG2025
Target Population Synthesis using CT-GAN
Tanay Rastogi, Daniel Jonsson
Agent-based models used in scenario planning for transportation and urban planning usually require detailed population information from the base as well as target scenarios. These…
cs.LG2025
Population Synthesis using Incomplete Information
Tanay Rastogi, Daniel Jonsson, Anders Karlström
This paper presents a population synthesis model that utilizes the Wasserstein Generative-Adversarial Network (WGAN) for training on incomplete microsamples. By using a mask matrix…