Folgen
Dominic Masters
Dominic Masters
Graphcore
Bestätigte E-Mail-Adresse bei graphcore.ai
Titel
Zitiert von
Zitiert von
Jahr
Revisiting small batch training for deep neural networks
D Masters, C Luschi
arXiv preprint arXiv:1804.07612, 2018
10092018
Geometric comparison of aerofoil shape parameterization methods
DA Masters, NJ Taylor, TCS Rendall, CB Allen, DJ Poole
AIAA journal 55 (5), 1575-1589, 2017
1662017
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
652015
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
382017
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
382016
Multilevel subdivision parameterization scheme for aerodynamic shape optimization
DA Masters, NJ Taylor, TCS Rendall, CB Allen
AIAA Journal 55 (10), 3288-3303, 2017
322017
8-bit numerical formats for deep neural networks
B Noune, P Jones, D Justus, D Masters, C Luschi
arXiv preprint arXiv:2206.02915, 2022
232022
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
172021
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
162022
Progressive subdivision curves for aerodynamic shape optimisation
DA Masters, NJ Taylor, T Rendall, CB Allen
54th AIAA Aerospace Sciences Meeting, 0559, 2016
162016
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
162016
Validation of the aerodynamic loading on basic flying disc geometries derived from CFD simulations
JR Potts, D Masters
Procedia Engineering 112, 400-405, 2015
122015
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
72021
Three-dimensional subdivision parameterisation for aerodynamic shape optimisation
DA Masters, NJ Taylor, T Rendall, CB Allen
55th AIAA Aerospace Sciences Meeting, 0036, 2017
62017
Towards foundational models for molecular learning on large-scale multi-task datasets
D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ...
arXiv preprint arXiv:2310.04292, 2023
52023
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
32023
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, 2024
22024
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
12023
Overflow Event Counter
A Alexander, D Masters
US Patent App. 18/483,699, 2024
2024
Processing Device for Intermediate Value Scaling
A Alexander, S Knowles, S Felix, C Luschi, B Noune, M Gore, G Da Costa, ...
US Patent App. 18/175,050, 2023
2023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20