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  • šŸ‘‹ Hi, Iā€™m @philine-bommer
  • šŸ‘€ Iā€™m interested in Explainable AI
  • šŸŒ± Iā€™m currently doing my PhD at TU Berlin in Machine Learning
  • šŸ’žļø Iā€™m looking to collaborate on Explainable AI solutions for extreme weather predictions
  • šŸ“« How to reach me [email protected]

philine-bommer's Projects

climate_x_quantus icon climate_x_quantus

This repository contains the code and packages to reproduce all experiments in "Finding the right XAI Method --- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science" by Bommer et. al.

climateinformatics2022 icon climateinformatics2022

Solution for the Hackathon Task of seasonal draught prediction for Africa. Group Members: Helge Mohn, Kenza Tazi, Philine Bommer

quantusclimate icon quantusclimate

Climate XAI edit of Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

v162 icon v162

Proceedings of ICML 2022

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