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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. |