| Towards unbounded machine unlearning M Kurmanji, P Triantafillou, J Hayes, E Triantafillou Advances in neural information processing systems 36, 1957-1987, 2023 | 164 | 2023 |
| Learned approximate query processing: Make it light, accurate and fast Q Ma, AM Shanghooshabad, M Almasi, M Kurmanji, P Triantafillou Conference on Innovative Data Systems,(CIDR21), 2021 | 32 | 2021 |
| Pgmjoins: Random join sampling with graphical models AM Shanghooshabad, M Kurmanji, Q Ma, M Shekelyan, M Almasi, ... Proceedings of the 2021 International Conference on Management of Data, 1610 …, 2021 | 21 | 2021 |
| Detect, distill and update: Learned DB systems facing out of distribution data M Kurmanji, P Triantafillou Proceedings of the ACM on Management of Data 1 (1), 1-27, 2023 | 16 | 2023 |
| A comparison of 2D and 3D convolutional neural networks for hand gesture recognition from RGB-D data M Kurmanji, F Ghaderi 2019 27th Iranian Conference on Electrical Engineering (ICEE), 2022-2027, 2019 | 11 | 2019 |
| Machine unlearning in learned databases: An experimental analysis M Kurmanji, E Triantafillou, P Triantafillou Proceedings of the ACM on Management of Data 2 (1), 1-26, 2024 | 10 | 2024 |
| What makes unlearning hard and what to do about it K Zhao, M Kurmanji, GO Bărbulescu, E Triantafillou, P Triantafillou Advances in Neural Information Processing Systems 37, 12293-12333, 2025 | 9 | 2025 |
| Are we making progress in unlearning? findings from the first neurips unlearning competition E Triantafillou, P Kairouz, F Pedregosa, J Hayes, M Kurmanji, K Zhao, ... arXiv preprint arXiv:2406.09073, 2024 | 9 | 2024 |
| Neurips 2023-machine unlearning, 2023 E Triantafillou, F Pedregosa, J Hayes, P Kairouz, I Guyon, M Kurmanji, ... URL https://kaggle. com/competitions/neurips-2023-machine-unlearning, 0 | 7 | |
| Hand gesture recognition from RGB-D data using 2D and 3D convolutional neural networks: a comparative study M Kurmanji, F Ghaderi Journal of AI and Data Mining 8 (2), 177-188, 2020 | 6 | 2020 |
| NeurIPS 2023 - Machine Unlearning E Triantafillou, F Pedregosa, J Hayes, P Kairouz, I Guyon, M Kurmanji, ... https://kaggle.com/competitions/neurips-2023-machine-unlearning, 2023 | 4 | 2023 |
| Dbest++: Learned approximate query processing: Make it light, accurate and fast Q Ma, A Shanghooshabad, M Almasi, M Kurmanji, P Triantafillou Proceedings of the 2021 Conference on Innovative Data Research, 1553-1570, 2021 | 2 | 2021 |
| DEPT: Decoupled Embeddings for Pre-training Language Models A Iacob, L Sani, M Kurmanji, WF Shen, X Qiu, D Cai, Y Gao, ND Lane arXiv preprint arXiv:2410.05021, 2024 | 1 | 2024 |
| Bridge the Gaps between Machine Unlearning and AI Regulation B Marino, M Kurmanji, ND Lane arXiv preprint arXiv:2502.12430, 2025 | | 2025 |
| LUNAR: LLM Unlearning via Neural Activation Redirection WF Shen, X Qiu, M Kurmanji, A Iacob, L Sani, Y Chen, N Cancedda, ... arXiv preprint arXiv:2502.07218, 2025 | | 2025 |
| Progressing from static to dynamic machine learning based data systems M Kurmanji University of Warwick, 2024 | | 2024 |
| The Brainy Student: Scalable Unlearning by Selectively Disobeying the Teacher M Kurmanji, P Triantafillou, E Triantafillou | | |
Peter TriantafillouProfessor, Computer Science, University of WarwickVerificeret mail på warwick.ac.uk
