riccardo/phd-thesis
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Adjustments to spelling and presentation

Browse Source 
Signed-off-by: Riccardo Finotello <riccardo.finotello@gmail.com>
This commit is contained in:
Riccardo
2020-10-21 15:24:18 +02:00
parent aea10018e8
commit 8dfb6f02bd
5 changed files with 11 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

1
sec/part3/conclusion.tex
View File

@@ -15,7 +15,6 @@ Techniques such as (variational) autoencoders~\cite{Kingma:2014:AutoEncodingVari
Finally our techniques apply directly to \cicy $4$-folds~\cite{Gray:2013:AllCompleteIntersection, Gray:2014:TopologicalInvariantsFibration}.
However there are many more manifolds in this case (around \num{e6}) and more Hodge numbers, such that one can expect to reach a better accuracy for the different Hodge numbers (the different learning curves for the $3$-folds indicate that the model training would benefit from more data).
Another interesting class of manifolds to explore with our techniques are generalized \cicy $3$-folds~\cite{Anderson:2016:NewConstructionCalabiYau}.
These and others will indeed be ground for future investigations.