Abstract: Image classifiers based on over-parametrized deep convolutional neural networks with an average-pooling are proposed. The weights of the network are learned by gradient descent. We present ...

Abstract: Physics-Informed Neural Networks (PINNs) have recently received increasing attention, however, optimizing the loss function of PINNs is notoriously difficult, where the landscape of the loss ...

For cases and controls, odds ratios (ORs) were calculated using multivariable conditional logistic regression by comparing MC exposure ratios between hazard period and referent period within ...