1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation Forecasting
Wei W. Xing, Ziyang Zhang, Akeel A. Shah
Predicting the end-of-life or remaining useful life of batteries in electric vehicles is a critical and challenging problem, predominantly approached in recent years using machine…
cs.LG2021
Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations
Wei W. Xing, Akeel A. Shah, Peng Wang +2
Challenges in multi-fidelity modeling relate to accuracy, uncertainty estimation and high-dimensionality. A novel additive structure is introduced in which the highest fidelity sol…
stat.ML2018★ 1 cited
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models
Charles Gadd, Sara Wade, Akeel Shah +1
We introduce a Bayesian framework for inference with a supervised version of the Gaussian process latent variable model. The framework overcomes the high correlations between laten…