... | @@ -56,11 +56,10 @@ ICML 2015<br> |
... | @@ -56,11 +56,10 @@ ICML 2015<br> |
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https://arxiv.org/abs/1505.05424<br>
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https://arxiv.org/abs/1505.05424<br>
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8 pages
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8 pages
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Global fine resolution mapping of ozone metrics through explainable machine learning, Clara Betancourt (JSC) [[slides](https://gitlab.version.fz-juelich.de/MLDL_FZJ/MLDL_FZJ_Wiki/-/blob/master/files/JournalClub/20210315_betancourt_journal_club.pdf)]
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* Global fine resolution mapping of ozone metrics through explainable machine learning, Clara Betancourt (JSC) [[slides](https://gitlab.version.fz-juelich.de/MLDL_FZJ/MLDL_FZJ_Wiki/-/blob/master/files/JournalClub/20210315_betancourt_journal_club.pdf)]
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* Intro to the papers [[slides](https://gitlab.version.fz-juelich.de/MLDL_FZJ/MLDL_FZJ_Wiki/-/blob/master/files/JournalClub/20210315_betancourt_weight_uncertainty.pdf)]
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Intro to the papers [[slides](https://gitlab.version.fz-juelich.de/MLDL_FZJ/MLDL_FZJ_Wiki/-/blob/master/files/JournalClub/20210315_betancourt_weight_uncertainty.pdf)]
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* Reference to Dropout for Bayesian Approximation: http://proceedings.mlr.press/v48/gal16-supp.pdf<br>
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Reference to Dropout for Bayesian Approximation: http://proceedings.mlr.press/v48/gal16-supp.pdf<br>
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https://github.com/yaringal/DropoutUncertaintyExps
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https://github.com/yaringal/DropoutUncertaintyExps
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### 22 February 2021 Explainable Machine Learning
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### 22 February 2021 Explainable Machine Learning
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