no code implementations • 25 Oct 2023 • Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi
We first propose a theorem to show that the invariant posterior of parameters can be implicitly inferred by aggregating posteriors on different training domains.
no code implementations • 19 Oct 2023 • Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi
Bayesian Neural Networks (BNNs) have become one of the promising approaches for uncertainty estimation due to the solid theorical foundations.
no code implementations • 7 Mar 2021 • Zhenjie Tang, Qing Xu, Zhenwei Shi, Bin Pan
To be specific, we develop a new Feedback Structure and a Local-Global Spectral Block to alleviate the difficulty in spatial and spectral feature extraction.