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Conference and Workshop Papers
- 2024
[c5]Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Kacper Mlodozeniec, Tegan Maharaj, David Krueger:
Implicit meta-learning may lead language models to trust more reliable sources. ICML 2024- 2023
- [c4]Bruno Mlodozeniec, Matthias Reisser, Christos Louizos:
Hyperparameter Optimization through Neural Network Partitioning. ICLR 2023 - [c3]Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka:
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. NeurIPS 2023 - [c2]Cindy Wu, Ekdeep Singh Lubana, Bruno Kacper Mlodozeniec, Robert Kirk, David Krueger:
What Mechanisms Does Knowledge Distillation Distill? UniReps 2023: 60-75 - 2020
- [c1]Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales:
Ensemble Distribution Distillation. ICLR 2020
Informal and Other Publications
- 2024
- [i9]Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec:
Denoising Diffusion Probabilistic Models in Six Simple Steps. CoRR abs/2402.04384 (2024) - [i8]James Urquhart Allingham, Bruno Kacper Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard E. Turner, Eric T. Nalisnick, José Miguel Hernández-Lobato:
A Generative Model of Symmetry Transformations. CoRR abs/2403.01946 (2024) - [i7]Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, José Miguel Hernández-Lobato:
Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes. CoRR abs/2405.18328 (2024) - [i6]Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, Javier Antorán, José Miguel Hernández-Lobato:
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes. CoRR abs/2405.18457 (2024) - [i5]Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E. Turner:
Influence Functions for Scalable Data Attribution in Diffusion Models. CoRR abs/2410.13850 (2024) - 2023
- [i4]Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka:
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. CoRR abs/2302.01170 (2023) - [i3]Bruno Mlodozeniec, Matthias Reisser, Christos Louizos:
Hyperparameter Optimization through Neural Network Partitioning. CoRR abs/2304.14766 (2023) - [i2]Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec, David Krueger:
Meta- (out-of-context) learning in neural networks. CoRR abs/2310.15047 (2023) - 2019
- [i1]Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales:
Ensemble Distribution Distillation. CoRR abs/1905.00076 (2019)
Coauthor Index
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