Michael W. Dusenberry

机构：Google (United States)

发表论文 22 篇 · 总被引 834 次 · h-index 12

代表论文

• Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer (2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 被引 250)
• SystemML (2016 · Proceedings of the VLDB Endowment · 被引 191)
• Measuring Calibration in Deep Learning (2019 · 被引 68)
• Bayesian Layers: A Module for Neural Network Uncertainty (2018 · arXiv (Cornell University) · 被引 49)
• Plex: Towards Reliability using Pretrained Large Model Extensions (2022 · arXiv (Cornell University) · 被引 38)
• Bayesian Layers: A Module for Neural Network Uncertainty (2019 · arXiv (Cornell University) · 被引 38)