Ben Glocker

27 papers · 2013–2025 · 9 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🤝 Dynamic Duo (10) 🧬 Topic Evolution 📈 Trend Setter 💎 Century Club · Bronze 🚀 Conference Pioneer ⚡ Prolific Year · Prolific 🌈 Renaissance Researcher (5) 🗃️ Keyword Collector (109)

Venues

ICML (7) MICCAI (6) NeurIPS (4) CVPR (3) ICLR (3) ICCV (1) JMLR (1) MIDL (1) RSS (1)

Top co-authors

Fabio De Sousa Ribeiro (10) Avinash Kori (6) Charles Jones (5) Tian Xia (5) Raghav Mehta (5) Mélanie Roschewitz (4) Nick Pawlowski (4) Loic Le Folgoc (3) Konstantinos Kamnitsas (3) Francesca Toni (3)

Research topics

Machine Learning (17) Artificial Intelligence (12) Deep Learning (11) Core Methods (11) Core AI (8) Optimization & Theory (8) Computer Vision (7) Architectures (5) Models (5) Bayesian & Probabilistic (4) Healthcare & Medicine (3) Analysis (3) Application Areas (3) Clinical (3) Processing (3)

Keywords

structural causal model (3) representation learning (2) pose estimation (2) counterfactual inference (2) medical imaging (2) uncertainty quantification (2) generative model (2) bias mitigation (2) object-centric representation (2) slot attention (2) unsupervised learning (2) causal inference (2) variational inference (2) domain adaptation (2) camera relocalization (2) metric learning (1) domain generalization (1) probabilistic modeling (1) image segmentation (1) non-convex optimization (1)

Papers

Automatic dataset shift identification to support safe deployment of medical imaging AI MICCAI 2025 CF-Seg: Counterfactuals meet Segmentation MICCAI 2025 Continuous Bayesian Model Selection for Multivariate Causal Discovery ICML 2025 Diffusion Counterfactual Generation with Semantic Abduction ICML 2025 Flow Stochastic Segmentation Networks ICCV 2025 Identifiable Object Representations under Spatial Ambiguities ICML 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis MICCAI 2025 Subgroups Matter for Robust Bias Mitigation ICML 2025 UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs MICCAI 2025 Vector Representations of Vessel Trees MIDL 2025 Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation MICCAI 2024 Grounded Object-Centric Learning ICLR 2024 Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NeurIPS 2024 Mitigating attribute amplification in counterfactual image generation MICCAI 2024 High Fidelity Image Counterfactuals with Probabilistic Causal Models ICML 2023 Measuring axiomatic soundness of counterfactual image models ICLR 2023 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022 Deep Structural Causal Models for Tractable Counterfactual Inference NeurIPS 2020 Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty NeurIPS 2020 Domain Generalization via Model-Agnostic Learning of Semantic Features NeurIPS 2019 Graph Convolutional Gaussian Processes ICML 2019 Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning JMLR 2019 Semi-Supervised Learning via Compact Latent Space Clustering ICML 2018 ElasticFusion: Dense SLAM Without A Pose Graph RSS 2015 Multi-Output Learning for Camera Relocalization CVPR 2014 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images CVPR 2013