| Ensemble distribution distillation A Malinin, B Mlodozeniec, M Gales arXiv preprint arXiv:1905.00076, 2019 | 207 | 2019 |
| Timewarp: Transferable acceleration of molecular dynamics by learning time-coarsened dynamics L Klein, A Foong, T Fjelde, B Mlodozeniec, M Brockschmidt, S Nowozin, ... Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
| Hyperparameter Optimization through Neural Network Partitioning B Mlodozeniec, M Reisser, C Louizos International Conference on Learning Representations, 2023 | 6 | 2023 |
| A Generative Model of Symmetry Transformations JU Allingham, BK Mlodozeniec, S Padhy, J Antorán, D Krueger, ... arXiv preprint arXiv:2403.01946, 2024 | | 2024 |
| Denoising Diffusion Probabilistic Models in Six Simple Steps RE Turner, CD Diaconu, S Markou, A Shysheya, AYK Foong, ... arXiv preprint arXiv:2402.04384, 2024 | | 2024 |
| (Out-of-context) Meta-learning in Language Models D Krasheninnikov, E Krasheninnikov, BK Mlodozeniec, D Krueger | | 2023 |
| What Mechanisms Does Knowledge Distillation Distill? C Wu, ES Lubana, BK Mlodozeniec, R Kirk, D Krueger UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | | 2023 |
| Meta-(out-of-context) learning in neural networks D Krasheninnikov, E Krasheninnikov, B Mlodozeniec, D Krueger arXiv preprint arXiv:2310.15047, 2023 | | 2023 |
Mark GalesCambridge UniversityVerified email at eng.cam.ac.uk
