| Uncertainty estimation using a single deep deterministic neural network J Van Amersfoort, L Smith, YW Teh, Y Gal International conference on machine learning, 9690-9700, 2020 | 754 | 2020 |
| Understanding measures of uncertainty for adversarial example detection L Smith, Y Gal arXiv preprint arXiv:1803.08533, 2018 | 496 | 2018 |
| Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2 T Lieberum, S Rajamanoharan, A Conmy, L Smith, N Sonnerat, V Varma, ... arXiv preprint arXiv:2408.05147, 2024 | 270 | 2024 |
| Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies M Walmsley, C Lintott, T Géron, S Kruk, C Krawczyk, KW Willett, ... Monthly Notices of the Royal Astronomical Society 509 (3), 3966-3988, 2022 | 269 | 2022 |
| Towards global flood mapping onboard low cost satellites with machine learning G Mateo-Garcia, J Veitch-Michaelis, L Smith, SV Oprea, G Schumann, ... Scientific reports 11 (1), 7249, 2021 | 241 | 2021 |
| Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning M Walmsley, L Smith, C Lintott, Y Gal, S Bamford, H Dickinson, L Fortson, ... Monthly Notices of the Royal Astronomical Society 491 (2), 1554-1574, 2020 | 204 | 2020 |
| On feature collapse and deep kernel learning for single forward pass uncertainty J Van Amersfoort, L Smith, A Jesson, O Key, Y Gal arXiv preprint arXiv:2102.11409, 2021 | 153 | 2021 |
| A systematic comparison of bayesian deep learning robustness in diabetic retinopathy tasks A Filos, S Farquhar, AN Gomez, TGJ Rudner, Z Kenton, L Smith, ... arXiv preprint arXiv:1912.10481, 2019 | 151 | 2019 |
| Improving dictionary learning with gated sparse autoencoders S Rajamanoharan, A Conmy, L Smith, T Lieberum, V Varma, J Kramár, ... arXiv preprint arXiv:2404.16014, 2024 | 112 | 2024 |
| Liberty or depth: Deep bayesian neural nets do not need complex weight posterior approximations S Farquhar, L Smith, Y Gal Advances in Neural Information Processing Systems 33, 4346-4357, 2020 | 67 | 2020 |
| Amphiphilic π-Allyliridium C,O-Benzoates Enable Regio- and Enantioselective Amination of Branched Allylic Acetates Bearing Linear Alkyl Groups AT Meza, T Wurm, L Smith, SW Kim, JR Zbieg, CE Stivala, MJ Krische Journal of the American Chemical Society 140 (4), 1275-1279, 2018 | 62 | 2018 |
| Simple and scalable epistemic uncertainty estimation using a single deep deterministic neural network J van Amersfoort, L Smith, YW Teh, Y Gal | 59 | 2020 |
| Improving deterministic uncertainty estimation in deep learning for classification and regression J Van Amersfoort, L Smith, A Jesson, O Key, Y Gal arXiv preprint arXiv:2102.11409 2 (3), 4, 2021 | 56 | 2021 |
| Sufficient conditions for idealised models to have no adversarial examples: a theoretical and empirical study with bayesian neural networks Y Gal, L Smith arXiv preprint arXiv:1806.00667, 2018 | 48 | 2018 |
| PSA-based machine learning model improves prostate cancer risk stratification in a screening population M Perera, R Mirchandani, N Papa, G Breemer, A Effeindzourou, L Smith, ... World journal of urology 39 (6), 1897-1902, 2021 | 44 | 2021 |
| Uncertainty quantification for virtual diagnostic of particle accelerators O Convery, L Smith, Y Gal, A Hanuka Physical Review Accelerators and Beams 24 (7), 074602, 2021 | 26 | 2021 |
| Benchmarking bayesian deep learning with diabetic retinopathy diagnosis A Filos, S Farquhar, AN Gomez, TGJ Rudner, Z Kenton, L Smith, ... Preprint at https://arxiv. org/abs/1912.10481, 2019 | 26 | 2019 |
| Improving sparse decomposition of language model activations with gated sparse autoencoders S Rajamanoharan, A Conmy, L Smith, T Lieberum, V Varma, J Kramar, ... Advances in Neural Information Processing Systems 37, 775-818, 2024 | 21 | 2024 |
| A randomised phase III study of bevacizumab and carboplatin–pemetrexed chemotherapy with or without atezolizumab as first-line treatment for advanced pleural mesothelioma … E Felip, S Popat, U Dafni, K Ribi, A Pope, S Cedres, R Shah, F de Marinis, ... Annals of Oncology 36 (5), 548-560, 2025 | 15 | 2025 |
| Advancing traditional prostate-specific antigen kinetics in the detection of prostate cancer: a machine learning model M Perera, L Smith, I Thompson, G Breemer, N Papa, MI Patel, P Swindle, ... European urology focus 8 (5), 1204-1210, 2022 | 13 | 2022 |
Yarin GalProfessor of Machine Learning, University of OxfordVerified email at cs.ox.ac.uk
