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cs.LG2022
Learning Non-Vacuous Generalization Bounds from Optimization
Chengli Tan, Jiangshe Zhang, Junmin Liu +1
One of the fundamental challenges in the deep learning community is to theoretically understand how well a deep neural network generalizes to unseen data. However, current approach…
math.DS2022
Application of neural-network hybrid models in estimating the infection functions of nonlinear epidemic models
Chentong Li, Changsheng Zhou, Junmin Liu +1
Hybrid neural network models combine the advantages of a neural network's fitting functionality with differential equation models to reflect actual physical processes and are widel…