Search Results for author: Antonio D'Isanto

Found 3 papers, 0 papers with code

From Photometric Redshifts to Improved Weather Forecasts: machine learning and proper scoring rules as a basis for interdisciplinary work

no code implementations5 Mar 2021 Kai Lars Polsterer, Antonio D'Isanto, Sebastian Lerch

We present what we achieved when using proper scoring rules to train deep neural networks as well as to evaluate the model estimates and how this work led from well calibrated redshift estimates to improvements in probabilistic weather forecasting.

Weather Forecasting Instrumentation and Methods for Astrophysics

Return of the features. Efficient feature selection and interpretation for photometric redshifts

no code implementations27 Mar 2018 Antonio D'Isanto, Stefano Cavuoti, Fabian Gieseke, Kai Lars Polsterer

The methodology described here is very general and can be used to improve the performance of machine learning models for any regression or classification task.

Instrumentation and Methods for Astrophysics

Photometric redshift estimation via deep learning

no code implementations8 Jun 2017 Antonio D'Isanto, Kai Lars Polsterer

The presented method is extremely general and allows us to solve of any kind of probabilistic regression problems based on imaging data, for example estimating metallicity or star formation rate of galaxies.

Instrumentation and Methods for Astrophysics

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