Julia E. Vogt
7 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (14)
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Renaissance Researcher
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Taxonomy Completionist
(21)
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The Questioner
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Trend Setter
Conferences
NIPS (3)
MLHC (2)
MICCAI (1)
MIDL (1)
Top co-authors
Keywords
variational autoencoder
(2)
interpretable machine learning
(2)
concept bottleneck model
(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?
NIPS 2024
Stochastic Concept Bottleneck Models
NIPS 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
NIPS 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