Julia E. Vogt
7 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
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The Questioner
Venues
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Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Core Methods
(3)
Models
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Application Areas
(2)
Architectures
(2)
Clinical
(2)
Domain-Specific
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Bayesian & Probabilistic
(1)
Keywords
variational autoencoder
(2)
concept bottleneck model
(2)
interpretable machine learning
(2)
probabilistic modeling
(1)
anomaly detection
(1)
multimodal learning
(1)
video understanding
(1)
visual grounding
(1)
model interpretability
(1)
latent representation
(1)
deep neural network
(1)
confidence region
(1)
group fairness
(1)
debiasing method
(1)
mixture of expert
(1)
vision-language model
(1)
model fine-tuning
(1)
supervised fine-tuning
(1)
concept bottleneck
(1)
data imputation
(1)
Papers
RadVLM-GRPO: Enhancing Chest X-ray Report Generation and Visual Grounding via Reinforcement Learning
MIDL 2026
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
MICCAI 2025
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NeurIPS 2024
Stochastic Concept Bottleneck Models
NeurIPS 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
NeurIPS 2024
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models
MLHC 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
MLHC 2022