Michael W. Dusenberry
Google (United States)(US)
Publications by Year
Research Areas
Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning, Advanced Graph Neural Networks, Machine Learning in Healthcare, Topic Modeling
Most-Cited Works
- → Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer(2020)240 cited
- → SystemML(2016)185 cited
- Measuring Calibration in Deep Learning(2019)
- → Bayesian Layers: A Module for Neural Network Uncertainty(2018)49 cited
- → Plex: Towards Reliability using Pretrained Large Model Extensions(2022)38 cited
- → A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan(2021)35 cited
- → Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors(2020)33 cited
- Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records.(2019)
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)