Uncertainty Quantification

Towards instance-wise calibration: Local amortized diagnostics and reshaping of conditional densities (LADaR)
B. Dey, D. Zhao, B. Andrews, J. Newman, Rafael Izbicki, A. Lee
March, 2025 Machine Learning: Science and Technology
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PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
A. Fröhlich, T. Ramos, G. Cabello, I. Buzatto, Rafael Izbicki, D. Tiezzi
February, 2025 In AAAI
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Toward the End-to-End Optimization of the SWGO Array Layout
T. Dorigo, M. Aehle, C. Arcaro, M. Awais, F. Bergamaschi, J. Doniti, M. Doro, N. R. Gauger, Rafael Izbicki, J. Kieseler A. B. Lee, L. Masserano, F. Nardi, R. Rajesh, L. R. Vergara, A. Shen
January, 2025 Nuclear Physics B
On the utility function of experiments in fundamental science
T. Dorigo, M. Doro, M. Aehle, M. Awais, N. R. Gauger, Rafael Izbicki, J. Kieseler A. B. Lee, L. Masserano, F. Nardi, A. Shen, L. R. Vergara
January, 2025 Physics Open
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Book - Machine Learning Beyond Point Predictions: Uncertainty Quantification
Author: Rafael Izbicki 1st Edition, 2025 ISBN: 978-65-01-20272-3 Pages: 260 Language: English ❗ If you live in Brazil, access the Brazilian version of the webpage by clicking here. Where to Buy 📘 You can buy a printed version from Amazon or search in your local store.
Livro - Machine Learning Beyond Point Predictions: Uncertainty Quantification
❗️ Se você vive fora do Brasil, acesse a versão internacional da página do livro clicando aqui. Onde comprar 📘 A versão impressa está disponível em dois formatos: 📙 Colorida: na UICLAP ou na Amazon (os preços na Amazon oscilam com o dólar).