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cs.LG2026
FastODT: A tree-based framework for efficient continual learning
Daniel Bretsko, Piotr Walas, Devashish Khulbe +3
Machine learning models deployed in real-world settings must operate under evolving data distributions and constrained computational resources. This challenge is particularly acute…
cs.LG2025
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models
Devashish Khulbe, Alexander Belyi, Stanislav Sobolevsky
Urban socioeconomic modeling has predominantly concentrated on extensive location and neighborhood-based features, relying on the localized population footprint. However, networks…