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Daniel Barrejón
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Learning to defer to multiple experts: Consistent surrogate losses, confidence calibration, and conformal ensembles
R Verma, D Barrejón, E Nalisnick
International Conference on Artificial Intelligence and Statistics, 11415-11434, 2023
152023
Medical data wrangling with sequential variational autoencoders
D Barrejón, PM Olmos, A Artés-Rodríguez
IEEE Journal of Biomedical and Health Informatics, 2021
102021
On the Calibration of Learning to Defer to Multiple Experts
R Verma, D Barrejón, E Nalisnick
ICML 2022 Workshop on Human-Machine Collaboration and Teaming, 2022
12022
How can humans leverage machine learning? From Medical Data Wrangling to Learning to Defer to Multiple Experts
D Barrejón Moreno
Universidad Carlos III de Madrid, 2023
2023
Some notes about Binary Image Denoising with Ising Model under Metropolis-Hastings and Gibbs sampling
DB Moreno
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