Glocker, Ben

44 publications

ICLRW 2025 Causal Representation Learning and Inference via Mixture-Based Priors Avinash Kori, Carles Balsells-Rodas, Ben Glocker, Yingzhen Li, Francesco Locatello

ICML 2025 Continuous Bayesian Model Selection for Multivariate Causal Discovery Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark Van Der Wilk

NeurIPS 2025 Counterfactual Identifiability via Dynamic Optimal Transport Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker

ICML 2025 Diffusion Counterfactual Generation with Semantic Abduction Rajat R Rasal, Avinash Kori, Fabio De Sousa Ribeiro, Tian Xia, Ben Glocker

ICCV 2025 Flow Stochastic Segmentation Networks Fabio De Sousa Ribeiro, Omar Todd, Charles Jones, Avinash Kori, Raghav Mehta, Ben Glocker

ICML 2025 Identifiable Object Representations Under Spatial Ambiguities Avinash Kori, Francesca Toni, Ben Glocker

ICLRW 2025 Identifiable Object Representations Under Spatial Ambiguities Avinash Kori, Francesca Toni, Ben Glocker

ICLR 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker

ICML 2025 Subgroups Matter for Robust Bias Mitigation Anissa Alloula, Charles Jones, Ben Glocker, Bartlomiej Papiez

ICLRW 2025 Unifying Causal and Object-Centric Representation Learning Allows Causal Composition Avinash Kori, Ben Glocker, Bernhard Schölkopf, Francesco Locatello

TMLR 2025 Where Are We with Calibration Under Dataset Shift in Image Classification? Mélanie Roschewitz, Raghav Mehta, Fabio De Sousa Ribeiro, Ben Glocker

ICLR 2024 Grounded Object-Centric Learning Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker

NeurIPS 2024 Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro

NeurIPSW 2023 A Causal Ordering Prior for Unsupervised Representation Learning Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris

ICCVW 2023 Distance Matters for Improving Performance Estimation Under Covariate Shift Mélanie Roschewitz, Ben Glocker

NeurIPSW 2023 GLANCE: Global to Local Architecture-Neutral Concept-Based Explanations Avinash Kori, Ben Glocker, Francesca Toni

ICML 2023 High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker

ICLR 2023 Measuring Axiomatic Soundness of Counterfactual Image Models Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker

CVPRW 2023 Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker

NeurIPSW 2023 Robust Semi-Supervised Segmentation with Timestep Ensembling Diffusion Models Margherita Rosnati, Mélanie Roschewitz, Ben Glocker

CVPRW 2023 Topology Preserving Compositionality for Robust Medical Image Segmentation Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker

CVPR 2022 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc

ECCVW 2022 Deep Structural Causal Shape Models Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker

TMLR 2022 Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed Mélanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker

ECCVW 2022 Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam, Ben Glocker

TMLR 2022 Structured Uncertainty in the Observation Space of Variational Autoencoders James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker

NeurIPS 2020 Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker

NeurIPS 2020 Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty Miguel Monteiro, Loic Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker

NeurIPS 2019 Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker

ICML 2019 Graph Convolutional Gaussian Processes Ian Walker, Ben Glocker

JMLR 2019 Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning Daniel C. Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker

WACV 2018 Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker

ICML 2018 Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas, Daniel Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori

ICLR 2017 Efficient Variational Bayesian Neural Network Ensembles for Outlier Detection Nick Pawlowski, Miguel Jaques, Ben Glocker

CVPRW 2016 Discrete Optimisation for Group-Wise Cortical Surface Atlasing Emma C. Robinson, Ben Glocker, Martin Rajchl, Daniel Rueckert

WACV 2015 Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker

CVPR 2014 Multi-Output Learning for Camera Relocalization Abner Guzman-Rivera, Pushmeet Kohli, Ben Glocker, Jamie Shotton, Toby Sharp, Andrew Fitzgibbon, Shahram Izadi

CVPR 2013 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew Fitzgibbon

ECCV 2012 Joint Classification-Regression Forests for Spatially Structured Multi-Object Segmentation Ben Glocker, Olivier Pauly, Ender Konukoglu, Antonio Criminisi

ECCV 2010 TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods Ben Glocker, Tim Hauke Heibel, Nassir Navab, Pushmeet Kohli, Carsten Rother

CVPR 2009 Discrete Tracking of Parametrized Curves Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab

CVPR 2008 Adaptive Parametrization of Multivariate B-Splines for Image Registration Michael Sass Hansen, Rasmus Larsen, Ben Glocker, Nassir Navab

CVPR 2008 Computing Minimal Deformations: Application to Construction of Statistical Shape Models Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali Khamene, Rasmus Larsen, Nassir Navab

CVPR 2008 Optical Flow Estimation with Uncertainties Through Dynamic MRFs Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab