| Accuracy, training time and hardware efficiency trade-offs for quantized neural networks on fpgas P Bacchus, R Stewart, E Komendantskaya International symposium on applied reconfigurable computing, 121-135, 2020 | 18 | 2020 |
| Optimising hardware accelerated neural networks with quantisation and a knowledge distillation evolutionary algorithm R Stewart, A Nowlan, P Bacchus, Q Ducasse, E Komendantskaya Electronics 10 (4), 396, 2021 | 17 | 2021 |
| Quasi Lossless Satellite Image Compression P Bacchus, R Fraisse, A Roumy, C Guillemot 2022 IEEE International Geoscience and Remote Sensing Symposium, 1532-1535, 2022 | 9 | 2022 |
| Joint compression and demosaicking for satellite images P Bacchus, R Fraisse, A Roumy, C Guillemot ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Compression quasi sans perte d'images satellites par filtrage de résidus P Bacchus, A Roumy, R Fraisse, C Guillemot XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI'23), 2023 | 1 | 2023 |
| Filtered Residual Compression for Satellite Images P Bacchus, R Fraisse, C Guillemot, A Roumy IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
| Neural Network Verification for the Masses (of AI graduates) E Komendantskaya, R Stewart, K Duncan, D Kienitz, PL Hen, P Bacchus arXiv preprint arXiv:1907.01297, 2019 | 1 | 2019 |
| Deep learning for satellite image compression P Bacchus Université Rennes, 2023 | | 2023 |
Robert StewartAssociate Professor, Heriot Watt University在 hw.ac.uk 的电子邮件经过验证
