Lewis Smith
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Gaussian Processes and Bayesian Inference, T-cell and B-cell Immunology, Machine Learning and Data Classification
Most-Cited Works
- → Uncertainty Estimation Using a Single Deep Deterministic Neural Network(2020)233 cited
- → Towards global flood mapping onboard low cost satellites with machine learning(2021)189 cited
- → Understanding Measures of Uncertainty for Adversarial Example Detection(2018)183 cited
- → Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies(2021)177 cited
- → Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning(2019)153 cited
- → A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks(2019)73 cited
- Matching for MHC haplotypes results in improved survival following unrelated bone marrow transplantation.(1995)
- → On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty(2021)56 cited