Jeremiah Zhe Liu
Google (United States)(US)Harvard University(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Gaussian Processes and Bayesian Inference, Air Quality Monitoring and Forecasting, Machine Learning and Data Classification, Topic Modeling
Most-Cited Works
- → Image reconstruction by domain-transform manifold learning(2018)1,697 cited
- → Measuring Calibration in Deep Learning(2019)156 cited
- → Simple and Principled Uncertainty Estimation with Deterministic Deep\n Learning via Distance Awareness(2020)141 cited
- → Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States(2022)129 cited
- → A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection(2021)71 cited
- → Health effects of air pollutant mixtures on overall mortality among the elderly population using Bayesian kernel machine regression (BKMR)(2021)56 cited
- → Accurate Uncertainty Estimation and Decomposition in Ensemble Learning(2019)34 cited
- → Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior(2020)32 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)