Scalable Bayesian neural networks by layer-wise input augmentation. - Trung Q. Trinh; Samuel Kaski; Markus Heinonen (CoRR, 2020)

Tackling covariate shift with node-based Bayesian neural networks. - Trung Q. Trinh; Markus Heinonen; Luigi Acerbi; Samuel Kaski (ICML, 2022)

Input gradient diversity for neural network ensembles. - Trung Q. Trinh; Markus Heinonen; Luigi Acerbi; Samuel Kaski (CoRR, 2023)

Input-gradient space particle inference for neural network ensembles. - Trung Q. Trinh; Markus Heinonen; Luigi Acerbi; Samuel Kaski (ICLR, 2024)

Improving robustness to corruptions with multiplicative weight perturbations. - Trung Q. Trinh; Markus Heinonen; Luigi Acerbi; Samuel Kaski (NeurIPS, 2024)