Bruno Mlodozeniec

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Gaussian Process

Top Venues

Publications

Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, José Miguel Hernández-Lobato
Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes. CoRR (2024)
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 (2024)
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 (2024)
Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
Hyperparameter Optimization through Neural Network Partitioning. ICLR (2023)
Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
Hyperparameter Optimization through Neural Network Partitioning. CoRR (2023)
Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec, David Krueger
Meta- (out-of-context) learning in neural networks. CoRR (2023)
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 (2023)
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)
Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales
Ensemble Distribution Distillation. ICLR (2020)
Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales
Ensemble Distribution Distillation. CoRR (2019)