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Citations per year
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Cited by
All
Since 2019
Citations
26
26
h-index
2
2
i10-index
2
2
0
16
8
2021
2022
2023
2024
1
2
16
7
Public access
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3 articles
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Co-authors
Eric Nalisnick
Assistant Professor, Johns Hopkins University
Verified email at jhu.edu
Rajeev Verma
PhD Student, University of Amsterdam
Verified email at iitp.ac.in
Pablo M. Olmos
University Carlos III de Madrid
Verified email at tsc.uc3m.es
Antonio Artés Rodríguez
Professor, Dept. of Signal Theory and Communications, Universidad Carlos III de Madrid
Verified email at tsc.uc3m.es
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Daniel Barrejón
Universidad Carlos III de Madrid
Verified email at ing.uc3m.es -
Homepage
Machine Learning
Deep Learning
Artificial Intelligence
Bayesian Inference
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Year
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
15
2023
Medical data wrangling with sequential variational autoencoders
D Barrejón, PM Olmos, A Artés-Rodríguez
IEEE Journal of Biomedical and Health Informatics
, 2021
10
2021
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
1
2022
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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