Bobby He
Publications by Year
Research Areas
Neural Networks and Applications, COVID-19 epidemiological studies, Domain Adaptation and Few-Shot Learning, Stochastic Gradient Optimization Techniques, Adversarial Robustness in Machine Learning
Most-Cited Works
- → Bayesian Deep Ensembles via the Neural Tangent Kernel(2020)28 cited
- → Efficient Bayesian inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities(2022)16 cited
- → Simplifying Transformer Blocks(2023)10 cited
- → Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK(2021)10 cited
- → UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography(2022)9 cited
- Stable ResNet(2020)
- → Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation(2023)5 cited
- → The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit(2023)3 cited
- → Understanding and Minimising Outlier Features in Neural Network Training(2024)2 cited