1. Physics-based neural network models for prediction of cam-follower dynamics beyond nominal operations;de groote;IEEE-ASME Transactions on Mechatronics,2021
2. Neural network augmented physics models for systems with partially unknown dynamics: application to slider-crank mechanism;de groote;IEEE-ASME Transactions on Mechatronics,2021
3. Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users
4. Flipout: Efficient pseudo-independent weight perturbations on mini-batches;wen,2018
5. Stochastic variational inference;hoffman,2013