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Bruno Kacper Mlodozeniec
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Year
Ensemble distribution distillation
A Malinin, B Mlodozeniec, M Gales
arXiv preprint arXiv:1905.00076, 2019
2092019
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
132024
Hyperparameter Optimization through Neural Network Partitioning
B Mlodozeniec, M Reisser, C Louizos
International Conference on Learning Representations, 2023
62023
Meta-(out-of-context) learning in neural networks
D Krasheninnikov, E Krasheninnikov, B Mlodozeniec, D Krueger
arXiv preprint arXiv:2310.15047, 2023
12023
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
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Articles 1–8