Daniel Coelho de Castro
5 papers · 2018–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (2) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer
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Hot Topic Early Bird
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Conference Pioneer
Conferences
NIPS (3)
ECCV (2)
Top co-authors
Keywords
image segmentation
(1)
metric learning
(1)
domain generalization
(1)
variational inference
(1)
domain adaptation
(1)
medical imaging
(1)
probabilistic model
(1)
structural causal model
(1)
spatial coherence
(1)
semantic feature learning
(1)
aleatoric uncertainty
(1)
counterfactual inference
(1)
normalising flow
(1)
feature space regularization
(1)
brain mri
(1)
Papers
RadEdit: stress-testing biomedical vision models via diffusion image editing
ECCV 2024
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
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data
ECCV 2018