11 citations · 18 across the 6 of their papers we have counts for
4 papers · 1 filter
When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters
Fangxin Wang, Ziyi Zhang, Diyi Zhuang +4
Frozen pretrained forecasters often fail in structured, recurring ways that are costly to repair through fine-tuning. We study corrective feature discovery: mining interpretable fe…
Large Language Models for Travel Behavior Prediction
Baichuan Mo, Hanyong Xu, Ruoyun Ma +4
Travel behavior prediction is a core problem in transportation demand management and is traditionally addressed using numerical models calibrated on observed data. With recent adva…
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach
Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos +1
Individual mobility is driven by demand for activities with diverse spatiotemporal patterns, but existing methods for mobility prediction often overlook the underlying activity pat…
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Shenhao Wang, Baichuan Mo, Jinhua Zhao
Researchers often treat data-driven and theory-driven models as two disparate or even conflicting methods in travel behavior analysis. However, the two methods are highly complemen…