Revisiting small batch training for deep neural networks D Masters, C Luschi
arXiv preprint arXiv:1804.07612, 2018
1182 2018 Geometric comparison of aerofoil shape parameterization methods DA Masters, NJ Taylor, TCS Rendall, CB Allen, DJ Poole
AIAA journal 55 (5), 1575-1589, 2017
208 2017 Gencast: Diffusion-based ensemble forecasting for medium-range weather I Price, A Sanchez-Gonzalez, F Alet, TR Andersson, A El-Kadi, D Masters, ...
arXiv preprint arXiv:2312.15796, 2023
103 2023 Review of aerofoil parameterisation methods for aerodynamic shape optimisation DA Masters, NJ Taylor, T Rendall, CB Allen, DJ Poole
53rd AIAA aerospace sciences meeting, 0761, 2015
86 2015 Impact of shape parameterisation on aerodynamic optimisation of benchmark problem DA Masters, DJ Poole, NJ Taylor, T Rendall, CB Allen
54th AIAA Aerospace Sciences Meeting, 1544, 2016
42 2016 Influence of shape parameterization on a benchmark aerodynamic optimization problem DA Masters, DJ Poole, NJ Taylor, TCS Rendall, CB Allen
Journal of Aircraft 54 (6), 2242-2256, 2017
41 2017 Probabilistic weather forecasting with machine learning I Price, A Sanchez-Gonzalez, F Alet, TR Andersson, A El-Kadi, D Masters, ...
Nature 637 (8044), 84-90, 2025
40 2025 8-bit numerical formats for deep neural networks B Noune, P Jones, D Justus, D Masters, C Luschi
arXiv preprint arXiv:2206.02915, 2022
36 2022 Multilevel subdivision parameterization scheme for aerodynamic shape optimization DA Masters, NJ Taylor, TCS Rendall, CB Allen
AIAA Journal 55 (10), 3288-3303, 2017
34 2017 Towards foundational models for molecular learning on large-scale multi-task datasets D Beaini, S Huang, JA Cunha, Z Li, G Moisescu-Pareja, O Dymov, ...
arXiv preprint arXiv:2310.04292, 2023
33 2023 Gps++: An optimised hybrid mpnn/transformer for molecular property prediction D Masters, J Dean, K Klaser, Z Li, S Maddrell-Mander, A Sanders, H Helal, ...
arXiv preprint arXiv:2212.02229, 2022
33 2022 Proxy-normalizing activations to match batch normalization while removing batch dependence A Labatie, D Masters, Z Eaton-Rosen, C Luschi
Advances in Neural Information Processing Systems 34, 16990-17006, 2021
24 2021 Progressive subdivision curves for aerodynamic shape optimisation DA Masters, NJ Taylor, T Rendall, CB Allen
54th AIAA Aerospace Sciences Meeting, 0559, 2016
19 2016 A locally adaptive subdivision parameterisation scheme for aerodynamic shape optimisation DA Masters, NJ Taylor, T Rendall, CB Allen
34th AIAA Applied Aerodynamics Conference, 3866, 2016
18 2016 Validation of the aerodynamic loading on basic flying disc geometries derived from CFD simulations JR Potts, D Masters
Procedia Engineering 112, 400-405, 2015
11 2015 Gps++: Reviving the art of message passing for molecular property prediction D Masters, J Dean, K Klaser, Z Li, S Maddrell-Mander, A Sanders, H Helal, ...
arXiv preprint arXiv:2302.02947, 2023
10 2023 Making EfficientNet more efficient: Exploring batch-independent normalization, group convolutions and reduced resolution training D Masters, A Labatie, Z Eaton-Rosen, C Luschi
arXiv preprint arXiv:2106.03640, 2021
9 2021 Three-dimensional subdivision parameterisation for aerodynamic shape optimisation DA Masters, NJ Taylor, T Rendall, CB Allen
55th AIAA Aerospace Sciences Meeting, 0036, 2017
6 2017 Generating QM1B with PySCF A Mathiasen, H Helal, K Klaser, P Balanca, J Dean, C Luschi, D Beaini, ...
Advances in Neural Information Processing Systems 36, 55036-55050, 2023
5 2023 Repurposing density functional theory to suit deep learning A Mathiasen, H Helal, P Balanca, K Klaeser, J Dean, C Luschi, D Beaini, ...
1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023
1 2023 