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cs.LG2025
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
Binghui Li, Fengling Chen, Zixun Huang +2
Scaling laws have emerged as a unifying lens for understanding and guiding the training of large language models (LLMs). However, existing studies predominantly focus on the final-…
cs.LG2023
Can Machine Learning Uncover Insights into Vehicle Travel Demand from Our Built Environment?
Zixun Huang, Hao Zheng
In this paper, we propose a machine learning-based approach to address the lack of ability for designers to optimize urban land use planning from the perspective of vehicle travel…
cs.LG2023
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling
Xinwei Zhuang, Zixun Huang, Wentao Zeng +1
Building archetypes, representative models of building stock, are crucial for precise energy simulations in Urban Building Energy Modeling. The current widely adopted building arch…