Ben Glocker Professor in Machine Learning for Imaging
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Recent Papers

  • Roschewitz et al (2025) Robust image representations with counterfactual contrastive learning
  • Jones et al. (2025) Rethinking Fair Representation Learning for Performance-Sensitive Tasks
  • Kori et al. (2024) Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
  • Jones et al. (2024) A causal perspective on dataset bias in machine learning for medical imaging
  • Kori et al. (2024) Grounded Object-Centric Learning
  • Ng et al. (2023) Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer
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jones2025iclr

2025 (1)

  • Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker, Rethinking Fair Representation Learning for Performance-Sensitive Tasks, International Conference on Learning Representations (ICLR), 2025
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