Mlodozeniec, Bruno Kacper

7 publications

NeurIPS 2025 Distributional Training Data Attribution: What Do Influence Functions Sample? Bruno Kacper Mlodozeniec, Isaac Reid, Samuel Power, David Krueger, Murat A Erdogdu, Richard E. Turner, Roger Baker Grosse

ICLR 2025 Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Kacper Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E. Turner

ICML 2025 Position: Probabilistic Modelling Is Sufficient for Causal Inference Bruno Kacper Mlodozeniec, David Krueger, Richard E Turner

NeurIPS 2024 A Generative Model of Symmetry Transformations James Urquhart Allingham, Bruno Kacper Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard E. Turner, Eric Nalisnick, José Miguel Hernández-Lobato

ICML 2024 Implicit Meta-Learning May Lead Language Models to Trust More Reliable Sources Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Kacper Mlodozeniec, Tegan Maharaj, David Krueger

ICLR 2023 Hyperparameter Optimization Through Neural Network Partitioning Bruno Kacper Mlodozeniec, Matthias Reisser, Christos Louizos

NeurIPSW 2023 What Mechanisms Does Knowledge Distillation Distill? Cindy Wu, Ekdeep Singh Lubana, Bruno Kacper Mlodozeniec, Robert Kirk, David Krueger