Daniel C. Castro
8 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
ICLR (4)
ACL (1)
CVPR (1)
ECCV (1)
JMLR (1)
Top co-authors
Keywords
medical imaging
(2)
representation learning
(1)
transfer learning
(1)
domain adaptation
(1)
self-supervised learning
(1)
multimodal learning
(1)
multi-modal learning
(1)
biomedical imaging
(1)
latent variable
(1)
variational autoencoder
(1)
radiology report generation
(1)
temporal structure
(1)
image encoder
(1)
report generation
(1)
large language model
(1)
morphometric analysis
(1)
vision-language processing
(1)
unsupervised learning
(1)
multi-image encoder
(1)
Papers
Balancing Act: Diversity and Consistency in Large Language Model Ensembles
ICLR 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
ICLR 2025
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
ACL 2024
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
ICLR 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