Bruno Mlodozeniec

21 papers A* 5Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incremental Transformer Neural Processes. CoRR Philip Mortimer, Cristiana Diaconu, Tommy Rochussen, Bruno Mlodozeniec, Richard E. Turner
2025	J	`jnl`	Better Hessians Matter: Studying the Impact of Curvature Approximations in Influence Functions. CoRR Steve Hong, Runa Eschenhagen, Bruno Mlodozeniec, Richard E. Turner
2025	J	`jnl`	Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration. CoRR Bruno Mlodozeniec, Pierre Ablin, Louis Béthune, Dan Busbridge, Michal Klein, Jason Ramapuram, Marco Cuturi
2025	J	`jnl`	Distributional Training Data Attribution. CoRR Bruno Mlodozeniec, Isaac Reid, Sam Power, David Krueger, Murat A. Erdogdu, Richard E. Turner, Roger B. Grosse
2025	J	`jnl`	Probabilistic Modelling is Sufficient for Causal Inference. CoRR Bruno Mlodozeniec, David Krueger, Richard E. Turner
2025	J	`jnl`	SKATE, a Scalable Tournament Eval: Weaker LLMs differentiate between stronger ones using verifiable challenges. CoRR Dewi S. W. Gould, Bruno Mlodozeniec, Samuel F. Brown
2025	J	`jnl`	Wavelet-Induced Rotary Encodings: RoPE Meets Graphs. CoRR Isaac Reid, Arijit Sehanobish, Cederik Höfs, Bruno Mlodozeniec, Leonhard Vulpius, Federico Barbero, Adrian Weller, Krzysztof Choromanski, Richard E. Turner, Petar Velickovic
2024	A*	`conf`	A Generative Model of Symmetry Transformations. NeurIPS James Urquhart Allingham, Bruno Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard E. Turner, Eric T. Nalisnick, José Miguel Hernández-Lobato
2024	J	`jnl`	Denoising Diffusion Probabilistic Models in Six Simple Steps. CoRR Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec
2024	—	`conf`	Implicitly Bayesian Prediction Rules in Deep Learning. AABI Bruno Mlodozeniec, David Krueger, Richard E. Turner
2024	A*	`conf`	Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes. NeurIPS Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, Javier Antorán, José Miguel Hernández-Lobato
2024	J	`jnl`	Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes. CoRR Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, Javier Antorán, José Miguel Hernández-Lobato
2024	J	`jnl`	Influence Functions for Scalable Data Attribution in Diffusion Models. CoRR Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E. Turner
2024	J	`jnl`	Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes. CoRR Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, José Miguel Hernández-Lobato
2023	A*	`conf`	Hyperparameter Optimization through Neural Network Partitioning. ICLR Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
2023	J	`jnl`	Hyperparameter Optimization through Neural Network Partitioning. CoRR Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
2023	J	`jnl`	Meta- (out-of-context) learning in neural networks. CoRR Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec, David Krueger
2023	A*	`conf`	Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. NeurIPS Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2023	J	`jnl`	Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. CoRR Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2020	A*	`conf`	Ensemble Distribution Distillation. ICLR Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales
2019	J	`jnl`	Ensemble Distribution Distillation. CoRR Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales