Ben Glocker
27 papers · 2013–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(34)
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
β‘
Prolific Year
(10)
π
Century Club
(26)
π
Trend Setter
ποΈ
Keyword Collector
(71)
π
Conference Pioneer
Conferences
ICML (7)
MICCAI (6)
NIPS (4)
CVPR (3)
ICLR (3)
ICCV (1)
JMLR (1)
MIDL (1)
RSS (1)
Top co-authors
Keywords
pose estimation
(2)
uncertainty quantification
(2)
unsupervised learning
(2)
representation learning
(2)
variational inference
(2)
domain adaptation
(2)
generative model
(2)
camera relocalization
(2)
structural causal model
(2)
metric learning
(1)
domain generalization
(1)
probabilistic modeling
(1)
image segmentation
(1)
generative modeling
(1)
non-convex optimization
(1)
medical image segmentation
(1)
image generation
(1)
medical imaging
(1)
bayesian nonparametrics
(1)
label propagation
(1)
Papers
Subgroups Matter for Robust Bias Mitigation
ICML 2025
Identifiable Object Representations under Spatial Ambiguities
ICML 2025
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
MICCAI 2025
Vector Representations of Vessel Trees
MIDL 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
ICLR 2025
Diffusion Counterfactual Generation with Semantic Abduction
ICML 2025
Continuous Bayesian Model Selection for Multivariate Causal Discovery
ICML 2025
Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
MICCAI 2025
CF-Seg: Counterfactuals meet Segmentation
MICCAI 2025
Automatic dataset shift identification to support safe deployment of medical imaging AI
MICCAI 2025
Flow Stochastic Segmentation Networks
ICCV 2025
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
NIPS 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
MICCAI 2024
Mitigating attribute amplification in counterfactual image generation
MICCAI 2024
Grounded Object-Centric Learning
ICLR 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
NIPS 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
NIPS 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
NIPS 2019
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
JMLR 2019
Graph Convolutional Gaussian Processes
ICML 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