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cs.LG2024★ 1 cited
A Good Score Does not Lead to A Good Generative Model
Sixu Li, Shi Chen, Qin Li
Score-based Generative Models (SGMs) is one leading method in generative modeling, renowned for their ability to generate high-quality samples from complex, high-dimensional data d…
cs.LG2023★ 1 cited
Correcting Auto-Differentiation in Neural-ODE Training
Yewei Xu, Shi Chen, Qin Li
Does the use of auto-differentiation yield reasonable updates for deep neural networks (DNNs)? Specifically, when DNNs are designed to adhere to neural ODE architectures, can we tr…