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cs.LG2025
DeepLogit: A sequentially constrained explainable deep learning modeling approach for transport policy analysis
Jeremy Oon, Rakhi Manohar Mepparambath, Ling Feng
Despite the significant progress of deep learning models in multitude of applications, their adaption in planning and policy related areas remains challenging due to the black-box…
cs.LG2025
Multiple Descents in Deep Learning as a Sequence of Order-Chaos Transitions in LSTM Networks
Wenbo Wei, Fan Xu, Nicholas Chong Jia Le +2
We observe a novel `multiple-descent' phenomenon during the learning process of a recurrent neural network called long-short-term memory (LSTM) networks during its training on real…
cs.LG2025
Bezier Distillation
Ling Feng, SK Yang
In Rectified Flow, by obtaining the rectified flow several times, the mapping relationship between distributions can be distilled into a neural network, and the target distribution…