| To ensemble or not ensemble: When does end-to-end training fail? A Webb, C Reynolds, W Chen, H Reeve, D Iliescu, M Lujan, G Brown Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 27 | 2021 |
| Training a task-specific image reconstruction loss A Mustafa, A Mikhailiuk, DA Iliescu, V Babbar, RK Mantiuk Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 26 | 2022 |
| Joint training of neural network ensembles AM Webb, C Reynolds, DA Iliescu, H Reeve, M Luján, G Brown stat 1050, 12, 2019 | 22 | 2019 |
| Arm scalable vector extension and application to machine learning DA Iliescu, F Petrogalli Retrieved October, 2018 | 11 | 2018 |
| Training a better loss function for image restoration A Mustafa, A Mikhailiuk, DA Iliescu, V Babbar, RK Mantiuk preprint, 2021 | 8 | 2021 |
| Training a task-specific image reconstruction loss. in 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 21–30.(2022) A Mustafa, A Mikhailiuk, DA Iliescu, V Babbar, RK Mantiuk | 5 | 2022 |
| Controllable Prosody Generation with Partial Inputs DA Iliescu, DSR Mohan, TH Teh, Z Hodari ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Controlling High-Dimensional Data With Sparse Input DA Iliescu, DSR Mohan, TH Teh, Z Hodari arXiv preprint arXiv:2303.09446, 2023 | | 2023 |
| Disentangling Domain and Content DA Iliescu, A Mikhailiuk, D Wischik, R Mantiuk arXiv preprint arXiv:2202.07285, 2022 | | 2022 |
| Style-Content Disentanglement Under Conditional Shift DA Iliescu, DJ Wischik | | |
| Group-Disentangling Conditional Shift DA Iliescu, D Wischik | | |
