Daniel C. Castro
8 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Deep Learning
(4)
Application Areas
(3)
Computer Vision
(2)
Architectures
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Domain-Specific
(1)
Processing
(1)
Keywords
large language model
(3)
medical imaging
(3)
multimodal learning
(2)
transfer learning
(1)
domain adaptation
(1)
causal discovery
(1)
self-supervised learning
(1)
distribution shift
(1)
biomedical imaging
(1)
alzheimer disease
(1)
distance metric
(1)
latent variable
(1)
variational autoencoder
(1)
bias mitigation
(1)
model ensemble
(1)
structural causal model
(1)
deep generative model
(1)
dataset bia
(1)
causal graph
(1)
counterfactual inference
(1)
Papers
Balancing Act: Diversity and Consistency in Large Language Model Ensembles
ICLR 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
ICLR 2025
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
ICLR 2024
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
ACL 2024
Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing
CVPR 2023
Measuring axiomatic soundness of counterfactual image models
ICLR 2023
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
ECCV 2022
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
JMLR 2019