2019:groups:tools:mlgenerativemodels
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2019:groups:tools:mlgenerativemodels [2019/06/24 16:07] sascha.caron |
2019:groups:tools:mlgenerativemodels [2019/06/25 10:37] (current) sascha.caron |
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| **ML: Generative model projects** | **ML: Generative model projects** | ||
| - | Discussed the topics we like to study: | + | See participants only page |
| - | * Interpolation and extrapolation properties of generative models | ||
| - | Aims: Define toys cases where the density d(x) is known, Sample training data from this. | ||
| - | Then train generative model on training data. Forecast d(x) with that model. | ||
| - | Derive pull distribution for the integral of the density in some phase space regions to | ||
| - | check how much and if this scales better than sqrt(N) where N are the number of training data | ||
| - | points in that phase space regions. | ||
| - | Also derive uncertainties via envelope of networks (e.g. via MC dropout, | ||
| - | https://arxiv.org/abs/1506.02142) | ||
| - | | ||
| - | * Transfer learning | ||
| - | * Simulator | ||
| - | * Shower development etc. | ||
2019/groups/tools/mlgenerativemodels.1561385261.txt.gz · Last modified: 2019/06/24 16:07 by sascha.caron
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